Guide to big data analytics tools, trends and best practices #big #data

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Guide to big data analytics tools, trends and best practices

Introduction

By now, many companies have decided that big data is not just a buzzword, but a new fact of business life — one that requires having strategies in place for managing large volumes of both structured and unstructured data. And with the reality of big data comes the challenge of analyzing it in a way that brings real business value. Business and IT leaders who started by addressing big data management issues are now looking to use big data analytics to identify trends, detect patterns and glean other valuable findings from the sea of information available to them.

It can be tempting to just go out and buy big data analytics software, thinking it will be the answer to your company’s business needs. But big data analytics technologies on their own aren’t sufficient to handle the task. Well-planned analytical processes and people with the talent and skills needed to leverage the technologies are essential to carry out an effective big data analytics initiative. Buying additional tools beyond an organization’s existing business intelligence and analytics applications may not even be necessary depending on a project’s particular business goals.

This Essential Guide consists of articles and videos that offer tips and practical advice on implementing successful big data analytics projects. Use the information resources collected here to learn about big data analytics best practices from experienced users and industry analysts — from identifying business goals to selecting the best big data analytics tools for your organization’s needs.

1 Business benefits –

Real-world experiences with big data analytics tools

Technology selection is just part of the process when implementing big data projects. Experienced users say it’s crucial to evaluate the potential business value that big data software can offer and to keep long-term objectives in mind as you move forward. The articles in this section highlight practical advice on using big data analytics tools, with insights from professionals in retail, healthcare, financial services and other industries.

Many data streaming applications don’t involve huge amounts of information. A case in point: an analytics initiative aimed at speeding the diagnosis of problems with Wi-Fi networking devices. Continue Reading

Online advertising platform providers Altitude Digital and Sharethrough are both tapping Apache Spark’s stream processing capabilities to support more real-time analysis of ad data. Continue Reading

To give healthcare providers a real-time view of the claims processing operations its systems support, RelayHealth is augmenting its Hadoop cluster with Spark’s stream processing module. Continue Reading

Complexity can seem like a burden to already overworked IT departments — but when it comes to your organization’s big data implementation, there’s a good reason for all those systems. Continue Reading

A number of myths about big data have proliferated in recent years. Don’t let these common misperceptions kill your analytics project. Continue Reading

Learn how health system UPMC and financial services firm CIBC are adopting long-term strategies on their big data programs, buying tools as needed to support analytics applications. Continue Reading

An executive from Time Warner Cable explains why it’s important to evaluate how big data software fits into your organization’s larger business goals. Continue Reading

Allegiance Retail Services, a mid-Atlantic supermarket co-operative, is deploying a cloud-based big data platform in place of a homegrown system that fell short on analytics power. Continue Reading

Users and analysts caution that companies shouldn’t plunge into using Hadoop or other big data technologies before making sure they’re a good fit for business needs. Continue Reading

Compass Group Canada has started mining pools of big data to help identify ways to stop employee theft, which is a major cause of inventory loss at its food service locations. Continue Reading

Big data projects must include a well-thought-out plan for analyzing the collected data in order to demonstrate value to business executives. Continue Reading

Data analysts often can find useful information by examining only a small sample of available data, streamlining the big data analytics process. Continue Reading

Shaw Industries had all the data it needed to track and analyze the pricing of its commercial carpeting, but integrating the information was a tall order. Continue Reading

2 New developments –

Opportunities and evolution in big data analytics processes

As big data analytics tools and processes mature, organizations face additional challenges but can benefit from their own experiences, helpful discoveries by other users and analysts, and technology improvements. Big data environments are becoming a friendlier place for analytics because of upgraded platforms and a better understanding of data analysis tools. In this section, dig deeper into the evolving world of big data analytics.

Technologies that support real-time data streaming and analytics aren’t for everyone, but they can aid organizations that need to quickly assess large volumes of incoming information. Continue Reading

Although the main trends in big data for 2015 may not be a huge departure from the previous year, businesses should still understand what’s new in the world of big data analysis techniques. Continue Reading

Before starting the analytical modeling process for big data analytics applications, organizations need to have the right skills in place — and figure out how much data needs to be analyzed to produce accurate findings. Continue Reading

The Flint River Partnership is testing technology that analyzes a variety of data to generate localized weather forecasts for farmers in Georgia. Continue Reading

Big data analytics processes on data from sensors and log files can propel users to competitive advantages, but a lot of refining is required first. Continue Reading

Consultant Rick Sherman offers a checklist of recommended project management steps for getting big data analytics programs off to a good start. Continue Reading

Big data analytics initiatives can pay big business dividends. But pitfalls can get in the way of their potential, so make sure your big data project is primed for success. Continue Reading

Consultants Claudia Imhoff and Colin White outline an extended business intelligence and analytics architecture that can accommodate big data data analysis tools. Continue Reading

Big data experts Boris Evelson and Wayne Eckerson shared ideas for addressing the widespread lack of big data skills in a tweet jam hosted by SearchBusinessAnalytics. Continue Reading

In the Hadoop 2 framework, resource and application management are separate, which facilitates analytics applications in big data environments. Continue Reading

It’s important to carefully evaluate the differences between the growing number of query engines that access Hadoop data for analysis using SQL, says consultant Rick van der Lans. Continue Reading

Marketers have a new world of opportunities thanks to big data, and data discovery tools can help them take advantage, according to Babson professor Tom Davenport. Continue Reading

The Data Warehousing Institute has created a Big Data Maturity Model that lets companies benchmark themselves on five specific dimensions of the big data management and analytics process. Continue Reading

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3 News stories –

News and perspectives on big data analytics technologies

Big data analysis techniques have been getting lots of attention for what they can reveal about customers, market trends, marketing programs, equipment performance and other business elements. For many IT decision makers, big data analytics tools and technologies are now a top priority. These stories highlight trends and perspectives to help you manage your big data implementation.

President Barack Obama has introduced proposals for data security, but not everyone thinks they will address key questions for businesses. Continue Reading





What is holographic storage (holostorage)? Definition from, holographic data storage.#Holographic #data #storage

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holographic storage (holostorage)

Holographic data storage

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Holographic storage is computer storage that uses laser beams to store computer-generated data in three dimensions. Perhaps you have a bank credit card containing a logo in the form of a hologram. The idea is to use this type of technology to store computer information. The goal is to store a lot of data in a little bit of space. In the foreseeable future, the technology is expected to yield storage capacities up to a terabyte in drives the same physical size as current ones. A terabyte would be enough space for hundreds of movies or a million books.

Holographic data storage

Holographic data storage

Download the PDF version of “Dell EMC World 2017 Recap

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Although no one has yet mass-commercialized this technology, many vendors are working on it. InPhase Technologies, which was founded by Lucent, is working on a product capable of storing 200 gigabytes of data, written four times faster than the speed of current DVD drives. Although current versions are not rewritable, the company expects to make holographic storage that can be rewritten within the next few years.

The first products are likely to be expensive, and only feasible for large organizations with unusual needs for storage. However, vendors expect to make holographic storage available and affordable for the average consumer within the next few years.





Calculate Beta With Historical Market Data, yahoo finance api historical data.#Yahoo #finance

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Calculate Beta With Historical Market Data

This tool calculates beta across any time frame for any stock against any benchmark. It uses historical stock quotes downloaded from Yahoo Finance.

But this spreadsheet goes one step beyond this, and gives you a value of beta for your specific requirements

Beta measures historical systematic risk against a specific benchmark, and the values given on Yahoo Finance and Google Finance aren t quite what you need. For example, Yahoo gives beta for the trailing 3 years against the S P500 but you need beta for the five years between 1995 to 2000 against the FTSE 100.

If so, this spreadsheet is perfect for you. Just enter

  • a stock ticker whose beta you want
  • a benchmark ticker
  • and two dates

After you click the prominently-placed button, the tool grabs the historical market data from Yahoo Finance and calculates beta.

In the following screengrab, we ve calculated the beta of Exxon Mobil (ticker: XOM) against the S P500 for the three years trailing 31st March 2015.

Yahoo finance api historical data

You could, if wanted, change the time period or swap out the benchmark for NASDAQ 100 (ticker: ^NDX).

The value of beta given by this tool (specifically, the beta of the close prices) matches that quoted by Yahoo Finance.

7 thoughts on Calculate Beta With Historical Market Data

Hello Samir khan,

I have downloaded spreadsheet calculate beta with historical market data on my laptop from your website http://www.investexcel.net. But it is not working in my open office even after enabling macros. Do I require to record macros, run macros, or organise macros?

Would you guide me in this regard so that spreadsheet starts working.

Please send a reply quickly.

It won t work in Open Office.

Hello Samir khan,

Can I download the spreadsheet calculate beta with the historical market data in the EXCEL ONLINE ?

Please send a reply. thanks

Does not work on Excel for Mac, ver. 15.15 (latest update for Office for Mac 2016). Clicking the Download Historical Stock Data and Calculate Beta button gives me a Compile error in hidden module: Module 1 message.

This spreadsheet no longer works, I suspect because Yahoo changed the column order for historical price downloads. Macro reports Run-time error 1004 : Method Range of object _Global failed .

Could you update the algorithm for obtaining historical data from Yahoo in this spreadsheet Excel Calculate Beta With Historical Market Data ?

In May, Yahoo! curtailed their free datafeed API that was supplying free data to Pairtrade Finder.

Over the last month, we ve been able to build a new bridge for Pairtade Finder to enable our

users to continue to use Yahoo! to source free data. We ve also upgraded the IQ Feed connection

in the latest version to ensure that no matter what happens with Yahoo! (they just merged with Verizon)

you always have access to high-quality data.





How to import historical stock data from Yahoo Finance into Excel using

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How to import historical stock data from Yahoo Finance into Excel using VBA

In this article, we are going to show you how to download historical stock prices using the Yahoo Finance API called table.csv and discuss the following topics that will allow you successfully import data in Excel from Yahoo in a simple and automatic way:

  • Yahoo Finance API
  • Import external data into Excel
  • Import data automatically using VBA
  • Dashboard and user inputs
  • Conclusion

Before we delve into the details of this subject, we assume that you know how to program in VBA or, at least, that you have already some notions of programming, as we are not going to introduce any basic programming concepts in this article. However, we hope to post other articles in a near future about more simple aspects of programming in VBA.

You can find the whole code source of this tutorial on GitHub, or you can download the following Excel file that contains the VBA code together with the Dashboard and a list of stock symbols: yahoo-hist-stock.xlsm.

Yahoo Finance API

Yahoo has several online APIs (Application Programming Interface) that provides financial data related to quoted companies: Quotes and Currency Rates, Historical Quotes, Sectors, Industries, and Companies. VBA can be used to import data automatically into Excel files using these APIs. In this article, we use the API for Historical Quotes only.

It is of course possible to access Yahoo Finance’s historical stock data using a Web browser. For example, this is a link to access Apple’s historical data, where you can directly use the Web interface to display or hide stock prices and volumes.

Yahoo finance api historical data

Now, the first step before writing any line of code is to understand how the Yahoo Finance API for Historical Stock Data is working, which implies to first learn how URL (Uniform Resource Locator) are built and used to access content on the Web. A URL is a Web address that your browser uses to access a specific Web page. We give here some two examples of Yahoo’s URLs.

  • This is how a URL look like when navigating on Yahoo Finance’s Web site:

  • And this is how the URL of Yahoo Finance API look like when accessing historical stock data:

    Note that these URLs both access stock data related to symbol GOOGL, i.e. the stock symbol for Google.

    However, except the fact that there are tow distinct URLs, they are also quite different in the result they return. If you click on them, the first simply returns a Web page (as you would expect), while the second returns a CSV file called table.csv that can be saved on your computer. In our case, we are going to use the table.csv file.

    Here is an example of data contained in this file. The table.csv file contains daily stock values of Google from the 24th to 30th December 2015.

    As you can see, the returned CSV file always contains headers (column names) in the first line, columns are separated by comma, and each line contains measurements for a specific day. The number of lines contained in the file depends on the given parameters (start data, end date and frequency). However, the number of columns (7) will always be the same for this API.

    The first column [Date] contains the date for every measurement. Columns 3 to 5 [Open,High,Low,Close] contains stock prices, where [Open] represents the recorded price when the market (here NasdaqGS) opened, [High] is the highest recorded price for a specific time interval (e.g. day), [Low] is the lowest price for a specific time interval, and [Close] is the price after the market closed. [Volume] represents the number of transactions executed during the given time interval (e.g. for a day, between market opening and closure). Finally, the [Adj Close] stands for Adjusted Close Price and represents the final price at the end of the day after the market closed. It may not necessary be equal to the [Close] price because of different business reasons. So, usually, we prefer to use the Adjusted Close Price instead of the Close Price.

    Now, if you look more closely at URL, we can see that it is composed of two main parts (one fixed and one variable): (1) the Web site and file name [http://ichart.finance.yahoo.com/table.csv] that is fixed, and (2) the parameters that can be modified in order to get historical data from other companies and/or for different periods of time [s=GOOGL a=0 b=1 c=20 14 d=5 e=30 f=2016 g=d]. These two parts are separated with a special character: the question mark [?].

    Let’s take a closer look at the the URL parameters following the question mark. Parameter name and value must always be passed together and are separated by an equal sign “=“. For example, parameter name “s” with value “GOOGL” gives parameter “s=GOOGL” that is then attached to the URL just after the question mark “?” as follow:

    Note here that only parameter “s” is mandatory. This means that the above URL is valid and will download a file containing all historical stock data from Google (on a daily basis), i.e. since the company was first quoted on the stock exchange market. All other parameters are optional.

    Additional parameters are separated with symbol “ ” from each other. For example, if the next parameter is “g=d” (for daily report), the URL becomes:

    Note the difference between “g” and “d”, where “g” is the parameter name whereas “d” is the parameter value (meaning “daily”). Note also that the order in which parameters are appended to the URL is NOT important: “s=GOOGL g=d” is equivalent to “g=d s=GOOGL”.

    For the Stock Symbol parameter “s”, a list of symbols (called tickers) can be found here.

    Additionally, one might also want to to target a specific period of time. Fortunately, the API also accept parameters that allows us to reduce or increase the time window by using more parameters. Here is an exhaustive list of all parameters from the Historical Stock API:





  • Home Health Care Agencies – Ratings and Performance Data #hotel #direct

    #home health agencies

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    Compare Home Health Care Services

    Guide to Choosing Home Health Care Agencies

    At Home Health Care Service Providers offer a number of options for care within the patient’s home. When looking for the right home health care, there are a number of options to consider before making your final decision. Since the service will be coming to your home, it is important to first locate a group of services that are geographically close to you before analyzing their amenities further. Next, compare the program’s services offered and make sure you choose a company that will provide care specific to your needs. In addition, make sure that the program scores well in performance measures, managing pain and treating symptoms, treating wounds and preventing bed sores, and preventing harm and hospital stays. Discuss your selection with your physician and family before making your final decision.

    Ownership Type

    The location of the service and who provides care: non-profit, corporate, government, or voluntary.

    • Combination Government Voluntary: This type of ownership provides care services that are run by the government at either the state or local level.
    • Hospital Based Program: Ownership of this type provides programs that are based within a hospital.
    • Local: This type of ownership provides care services that are run locally in your city, and serve a more limited area.
    • Official Health Agency: This type of ownership often provides a variety of services, giving you the ability to work with one company to cover all of your at home health care needs.
    • Rehabilitation Facility Based Program: These programs focus on at home physical rehabilitation.
    • Skilled Nursing Facility Based Program: These programs focus on providing skilled nurses for at home health care.
    • Visiting Nurse Association: These programs provide skilled nurses for at home care.

    What to Watch for in Home Health Care Agencies

    To ensure you receive the highest quality of care, avoid providers with low scores in performance measures, managing pain and treating symptoms, treating wounds and preventing bed sores, and preventing harm and hospital stays. In addition, avoid trying to work with a company that is located far away from you, as it might be more difficult to find a nurse or other care provider you like that is also willing or able to travel a longer distance.

    Dataladder – The Leader in Data Cleansing Software, data deduplication software.#Data #deduplication

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    Integrate Fuzzy/Phonetic Matching Algorithms and standardization procedures

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    The DataLadder Decision Engine ‘learns’ from human input on what is ?>

  • US big-data company expands into China #cloudera,big #data, #china

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    US-based tech company Cloudera, which specializes in big data services, will open three offices in China, the company announced.

    The Palo Alto, California-based company already is in Asia with an office in Japan, but offices in Beijing, Shanghai and Guangzhou will be the company’s first in China.

    Cloudera said it will provide local customers with technology to build their own data hubs using Apache Hadoop, software that helps store and distribute large data sets.

    “We are making a big investment in a big opportunity,” said Cloudera CEO Tom Reilly in a statement on Dec 10. “With the interest in open source software and big data being so strong, we expect fast growth and adoption in China.”

    Cloudera joins a number of other American tech firms that have expanded into China as US and Chinese companies try to leverage the large amount of data collected from the country’s 1.3 billion consumers.

    “Big data has now reached every sector in the global economy. Like other essential factors of production such as hard assets and human capital, much of modern economic activity simply couldn’t take place without it,” said Justin Zhan, director of the Interdisciplinary Research Institute at the North Carolina Agricultural and Technical State University.

    “Looking ahead, there is huge potential to leverage big data in developing economies as long as the right conditions are in place,” added Zhan, who is also the chair of the International Conference on Automated Software Engineering.

    “With a strong economy, successful enterprises and local developers, China is a place for great products and services powered by big data technologies like Cloudera,” said George Ling, general manager of Cloudera China, in the company statement. “The new China offices give us an opportunity to showcase our local talent in an important and savvy market, with the ability to address changes in the local economy with sensitivity to cultural dynamics ultimately ensuring our customers’ success.”

    Zhan said that China is already leading the region for personal location data in the area of mobile technology, given the sheer number of mobile phone users in the country. According to December 2013 estimates from Reuters, there were about 1.23 billion mobile phone users in China.

    “The possibilities of big data continue to evolve rapidly, driven by innovation in the underlying technologies, platforms, and analytic capabilities for handling data, as well as the evolution of behavior among its users as more and more individuals live digital lives,” Zhan said, adding that US companies can help China in this aspect because tech firms here lead big data research and will eventually provide the foundation for big data business in countries like China.

    Ge Yong, assistant professor of computer science at University of North Carolina at Charlotte, said that there are many opportunities for US companies to help with big data management in China, particularly in the information technology sector.

    “There are areas in which Chinese companies do really well – such as Alibaba with e-commerce big data – but in certain sectors, US companies have more mature analytic tools to apply to Chinese businesses,” Ge said.

    NetApp, another California-based data management company, entered China in 2007 and has since opened 15 branches in China across Beijing, Shanghai, Guangzhou, Chengdu, and Shenzhen.

    “With our innovation, our selling relationships, and our great work environments and employees, NetApp believes it has the recipe to continue to grow successfully in China,” wrote Jonathan Kissane, senior vice-president and chief strategy officer at NetApp, in an e-mail to China Daily.

    “Companies around the globe have common challenges meeting their business needs with increasing volumes of critical data and the need for business flexibility. Data is the heart of business innovation and customer want to free data to move unbound across private and public clouds,” he wrote.

    Most Viewed

    US Weekly





    Solutions for the Next Generation Data Center – 42U: Cooling, Power, Monitoring

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    42U Data Center Solutions

    We commit to providing solutions that best meet your needs and improve overall efficiency.

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    Increase rack density with row-based, high-density cooling solutions. Precision Cooling that optimizes your server cooling strategies.

    • Up to 57 kW cooling output in under 4 ft 2 footprint.
    • Save energy with high water inlet temperatures.
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    Aisle Containment

    Cool higher heat loads by isolating cooled air from hot equipment exhaust. Reduce or eliminate Bypass Air and Recirculation .

    • Optimize cooling infrastructure efficiency.
    • Maximize airflow dynamics.
    • Customized solutions for any environment.

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    Smart Power

    Proactively monitor and protect mission-critical equipment. Customizable power control and active monitoring down to the outlet level.

    • Smart load shedding capability.
    • Customized alert thresholds and alarms.
    • Build-Your-Own PDUs for the perfect fit.

    Why IT professionals trust 42U

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    Vendor

    We are vendor and technology independent, providing complete unbiased guidance on developing your data center solution. This allows us to assess each technology and evaluate and recommend the best solution for your application.

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    We believe in developing a true business relationship with all of our customers. Our complete discovery process helps us understand the unique requirements of your environment, allowing us to make educated recommendations and develop the best solution for you.

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    Office of Marine and Aviation Operations #national #flight #data #center

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    The low bandwidth option causes most images to disappear and stops external fonts from loading.

    The underlined links option causes all website links to become underlined, making them easier to distinguish.

    The high contrast option causes colors to change to mostly black and white.

    Office of Marine Aviation Operations (OMAO) parent organizations

    Utility Navigation

    Primary Navigation

    Office of Marine and Aviation Operations Headquarters

    Office of Marine and Aviation Operations

    National Oceanic and Atmospheric Administration

    8403 Colesville Road, Suite 500

    Silver Spring. MD 20910-3282

    Front Desk. 1-301-713-1045

    • Social Media

    Slideshow

    Photo: Steve de Blois / NOAA

    The NOAA Ship Fleet

    Learn how NOAA research and survey ships support safe navigation, commerce, and resource management

    Photo: © Sean Michael Davis – used with permission

    The NOAA Aircraft Fleet

    Learn how NOAA aircraft support hurricane and flood forecasts, coastal mapping, and emergency response

    Photo: Robert Schwemmer / NOAA





    Migration Data Hub #data #center #migration #steps

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    Migration Data Hub

    Migration Data Hub

    Remittances are among the most tangible links between migration and development. According to World Bank projections, international migrants are expected to remit more than $582 billion in earnings in 2015, of which $432 billion will flow to low- or middle-income countries. Use the interactive data tools to find global remittance flows numerically, as a share of GDP, and more.

    Use these interactive tools, data charts, and maps to learn the origins and destinations of international migrants, refugees, and asylum seekers; the current-day and historical size of the immigrant population by country of settlement; top 25 destinations for migrants; and annual asylum applications by country of destination.

    Use our interactive maps to learn about international migration, including immigrant and emigrant populations by country and trends in global migration since 1960. One of these maps was referred to by a news organization as “addictive” and “a font of fun facts.”

    Use our interactive maps, with the latest available data, to learn where immigrant populations, by country or region of birth, are concentrated in the United States—at state, county, and metro levels. And explore settlement patterns and concentration of various immigrant populations in the United States in 2010 and 2000 with static maps.

    Frequently Requested Statistics on Immigrants and Immigration in the United States
    This feature presents the latest, most sought-after data on immigrants in the United States—by origin, residence, legal status, deportations, languages spoken, and more—in one easy-to-use resource.

    Immigration: Data Matters
    This pocket guide compiles some of the most credible, accessible, and user-friendly government and nongovernmental data sources pertaining to U.S. and international migration. The guide also includes additional links to relevant organizations, programs, research, and deliverables, along with a glossary of frequently used immigration terms.

    Media Resources

    Experts

    Jeanne Batalova is a Senior Policy Analyst at MPI and Manager of the MPI Data Hub. Full Bio >





    Microsoft to open UK data centres – BBC News #microsoft #data #centre

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    Microsoft to open UK data centres

    Microsoft has announced plans to build two data centres in the UK next year.

    The move will allow the tech company to bid for cloud computing contracts involving sensitive government data, which it was restricted from providing before.

    Consumers should also benefit from faster-running apps.

    The announcement, made by Microsoft chief executive Satya Nadella in London, follows a similar declaration by Amazon last week.

    The two companies vie to provide online storage and data crunching tools via their respective platforms Microsoft Azure and Amazon Web Services.

    Microsoft’s existing clients include:

    Amazon’s corporate customers include:

    One expert said the companies’ latest efforts should address highly regulated organisations’ privacy concerns.

    In a related development, the firm has also announced plans to offer its Azure and Office 365 cloud services from two German data centres controlled by a third-party, a subsidiary of Deutsche Telekom .

    “Microsoft will not be able to access this data without the permission of customers or the data trustee, and if permission is granted by the data trustee, will only do so under its supervision,” it said.

    The move will make it even harder for overseas authorities to gain access to the files.

    Microsoft is currently engaged in a legal battle with the US Department of Justice, which is trying to make it hand over emails stored on a server in Ireland – the tech firm says the government is trying to exceed its authority.

    ‘Huge milestone’

    Mr Nadella announced the plan to open a data centre near London and another in elsewhere in the UK – whose location has yet to be named – in 2016.

    They will bring the company’s tally of regional data centres to 26.

    He added Microsoft had also just completed the expansion of existing facilities in Ireland and the Netherlands.

    “[It] really marks a huge milestone and a commitment on our part to make sure that we build the most hyperscale public cloud that operates around the world with more regions than anyone else,” he told the Future Decoded conference.

    Scott Guthrie, Microsoft’s cloud enterprise group chief, added that the move would address privacy watchdogs’ concerns about “data sovereignty”.

    “We’re always very clear that we don’t move data outside of a region that customers put it in,” he told the BBC.

    “For some things like healthcare, national defence and public sector workloads, there’s a variety of regulations that says the data has to stay in the UK.

    “Having these two local Azure regions means we can say this data will never leave the UK, and will be governed by all of the local regulations and laws.”

    Amazon has also committed itself to multiple UK data centres, but has not said how many at this stage. It will make the UK its 15th regional base.

    Although that is fewer than Microsoft’s, the company is currently the global leader in this field in terms of market share.

    Image copyright Thinkstock Image caption Microsoft and Amazon will compete to provide local cloud computing services to UK-based organisations

    Announcing its move, Amazon said an added benefit of having a local data centre was that the public would experience less lag when using net-based services.

    “It will provide customers with quick, low-latency access to websites, mobile applications, games, SaaS [software as a service] applications, big data analysis, internet of things (IoT) applications, and more,” wrote Amazon’s chief technology officer, Werner Vogels .

    Amazon’s other EU-based data centres are in Ireland and Germany.

    Safe Harbour

    The recent legal battle over Safe Harbour highlighted the benefits of storing and processing data locally.

    Image copyright Thinkstock Image caption Regulations sometimes dictate that sensitive data must not be held outside of the UK

    The trade agreement – which used to make it easy to send EU-sourced personal information to the US – was ruled invalid. causing companies to take on additional administrative work if they wanted to continue using US-based cloud services.

    One expert said that the latest move should allay many IT chiefs’ concerns.

    “Microsoft’s new UK data centre will be a big deal for enterprises here – especially in highly regulated industries,” said Nick McGuire, from the tech research company CCS Insight.

    “It unlocks one of the key restraints on those bodies wishing to embrace cloud services.”

    Although outsourcing computing work to one of the big tech companies offers the potential for savings – as they do not have to build and maintain their own equipment – there are also risks involved.

    A fault with Azure knocked many third-party websites offline last year. and Amazon has experienced glitches of its own.

    However, major faults taking clients’ services offline are a relatively rare occurrence.

    Media playback is unsupported on your device





    UCE International Cellular Network Engineering Group, cellular data services.#Cellular #data #services

    #

    cellular data services

    • Cellular data services

    provide on-job training and know-how knowledge transfer to your engineers.

  • Cellular data services

    UCE will audit the network from a technical aspect to market analysis to provide a sound long term network

  • Cellular data services

    within telephone facilities, high rise buildings, commercial buildings, hotels, hospitals,

    universities, residential areas and shopping complexes.

  • Cellular data services

    and engineering services providers to increase the skills of their workforce,

    enhance their efficiency, reduce their operation costs and increase their operating profit.

    Cellular data services

    Core Business

    UCE has been transformed into a regional powerhouse with its core business focused on telecommunications.

    Cellular data services

    Awards

    Our people are the ‘building blocks’ of our business and the international diversity allows UCE to be the success it is today.

    Cellular data services

    Join Us

    We are always looking for creative, flexible, self-motivated contributors who possess the necessary skills to perform at the highest level.

    Cellular data services

    Latest News in Facebook

    Connect with us TODAY!

    Latest news and events can be found here. Like our Facebook page.

    Cellular data services

    Management Team

    UCE International is committed to being a responsible business and our environment is driven by our corporate values.

    Welcome to UCE International Group

    Cellular data servicesIn the Telecommunication Industry, the technologies are changing too rapidly and as a result, methods for dealing with these changes are also emerging rapidly. Coupled with the burgeoning demands of smartphones and mobile data, the network operators are being subjected to all kinds of pressure to meet these requirements.

    To ensure the greatest return to investors, the network operators are constantly looking to lower operation expenditures. They will always leverage and outsource the engineering works to professional technology services firms to complement their product offerings. The outsourcing strategy not only provides higher returns for the organization but also ensures higher efficiency to achieve its objectives and product offering deadline.

    Vacancy

    Cellular data servicesThe Management believes in working hard but keeping it fun. The founder believe in a win-win scenario for both staff and management as they believe in fair treatment and being rewarded for innovation because it recognizes that its people are its best assets, and as such, are well rewarded.

    As a innovative and forward-thinking company, UCE has a flat management structure preferring to keep its staff together like a close-knit family. Apart from selecting people based on the best skills set, UCE looks out for people with enthusiasm, keenness in learning and a critical ability to think. More.





  • General Data Protection Regulation #data #protection #certification

    #

    The General Data Protection Regulation is Coming fast: Will you be ready for 2018?

    Data transparency

    Your company has no shortage of data about customers and employees. But without a doubt, you don’t have complete knowledge as to all its whereabouts, its composition, its usage, how it was captured and how well it is being protected – at least not at the level of detail required by GDPR. Software AG gives you the means to fully comply with GDPR restrictions on personal data with solutions to properly classify the data you have and build a comprehensive record of processing activities and business processes. You’ll be able to satisfy customer inquiries and requests competently, and react quickly and effectively in the event of a data breach.

    Reporting efficiency

    Communication will be both a strategic and tactical strategy against compliance violation. If you can ensure stakeholders both internal (employees, subsidiaries, outsourcers) and external (customers, auditors and business partners) get the information they need, when they need it and in a palatable form, you’ve won half the battle. Use Software AG’s powerful reporting capabilities to deliver compliance status and progress reports for every audience, compile evidence of lawful processing for auditors and certification boards, and totally fulfill disclosure requests from data subjects.

    Company-wide commitment

    Even the slightest misstep in handling personal data could put your company at risk of non-compliance. Make sure everyone in your company understands the basic underpinnings of GDPR, their specific role in the matter, and, especially, what’s at stake – huge fines and a damaged reputation. Software AG’s GDPR solution, with its enterprise-wide reach, ensures you can effectively communicate and enforce your policies, principles, and procedures for compliance. Conduct readiness surveys and regular trainings – in particular, what to do in case of a data breach – to help foster personal engagement.

    Risk sensitivity

    The frenetic pace of our highly competitive digital marketplace and daily pressures to meet work demands can make risk seem like an afterthought. Yet, as GDPR demonstrates, data protection and security demand greater attention in the digital age – ignore it at your own risk! Make risk awareness universal to your business operations with Software AG’s solution to integrate impact analysis, risk assessment and mitigation into business processes. We’ll even help you identify where to direct your energy with issue and incident tracking capabilities.

    Informed transformation

    The authors of the GDPR recognize that the business world keeps evolving. They mandate privacy impact assessments when you introduce new technologies. This means for every software tool and process you add, you need to establish a risk-aware IT planning procedure for GDPR assessment. You also have to assess existing projects for GDPR-relevance and revise them accordingly. Use Software AG’s GDPR solution to implement privacy-by-design requirements, coordinate and synchronize all parts of the enterprise on planned changes, and work collaboratively with business to assess impact of GDPR on digitalization strategy. Move forward confidently on business and IT innovation with Software AG’s “whole-view” business and IT strategic planning and compliance platform.

    Customer intimacy

    Some are concerned that GDPR will put a dent in companies’ digitalization strategies. But the truth of the matter is that when it comes to delivering a superior customer experience, GDPR presents the opportunity to add data protection rights to your portfolio of personalized services. Software AG’s strong business process analysis and customer journey mapping capabilities help you assess the impact of GDPR on your digitalization strategy and the customer experience you offer. It will also show you where data capture occurs to provide GDPR-mandated information and where to implement “right-to-know” touchpoints.

    Software AG offers the world’s first Digital Business Platform. Recognized as a leader by the industry’s top analyst firms, Software AG helps you combine existing systems on premises and in the cloud into a single platform to optimize your business and delight your customers. With Software AG, you can rapidly build and deploy digital business applications to exploit real-time market opportunities. Get maximum value from big data. make better decisions with streaming analytics. achieve more with the Internet of Things. and respond faster to shifting regulations and threats with intelligent governance, risk and compliance. The world’s top brands trust Software AG to help them rapidly innovate, differentiate and win in the digital world. Learn more at www.SoftwareAG.com .

    Your personal data is protected by Software AG in accordance with our privacy policy. You will be contacted only with your permission. Your personal data will only be processed within Software AG group and will not be made available to any third parties.





    What is network topology? Definition from #data #center #network #topology

    #

    network topology

    A network topology is the arrangement of a network, including its nodes and connecting lines. There are two ways of defining network geometry: the physical topology and the logical (or signal) topology.

    The physical topology of a network is the actual geometric layout of workstations. There are several common physical topologies, as described below and as shown in the illustration.

    In the bus network topology, every workstation is connected to a main cable called the bus. Therefore, in effect, each workstation is directly connected to every other workstation in the network.

    In the star network topology, there is a central computer or server to which all the workstations are directly connected. Every workstation is indirectly connected to every other through the central computer.

    In the ring network topology, the workstations are connected in a closed loop configuration. Adjacent pairs of workstations are directly connected. Other pairs of workstations are indirectly connected, the data passing through one or more intermediate nodes.

    If a Token Ring protocol is used in a star or ring topology, the signal travels in only one direction, carried by a so-called token from node to node.

    The mesh network topology employs either of two schemes, called full mesh and partial mesh. In the full mesh topology, each workstation is connected directly to each of the others. In the partial mesh topology, some workstations are connected to all the others, and some are connected only to those other nodes with which they exchange the most data.

    The tree network topology uses two or more star networks connected together. The central computers of the star networks are connected to a main bus. Thus, a tree network is a bus network of star networks.

    Logical (or signal) topology refers to the nature of the paths the signals follow from node to node. In many instances, the logical topology is the same as the physical topology. But this is not always the case. For example, some networks are physically laid out in a star configuration, but they operate logically as bus or ring networks.

    This was last updated in October 2016

    Continue Reading About network topology

    Related Terms

    churn rate Churn rate is a measure of the number of customers or employees who leave a company during a given period. It can also refer to. See complete definition Cisco Certified Internetwork Expert (CCIE certification) Cisco Certified Internetwork Expert (CCIE certification) is a series of technical certifications for senior networking. See complete definition Facebook Spaces Facebook Spaces is the social media company’s virtual reality (VR) application that allows users to interact in a virtual. See complete definition





    Data Encryption #data #encryption #standard #des

    #

    Data Encryption – Overview

    Data Encryption provides the ability to encrypt data both for transmission over non-secure networks and for storage on media. The flexibility of key management schemes makes data encryption useful in a wide variety of configurations.

    Encryption can be specified at following levels:

    • Client level (for backup)

    Client level encryption allows users to protect data prior to it leaving the computer. You can setup client level encryption if you need network security.

    The data encryption keys are randomly generated per archive file.

  • Replication Set level

    Encryption for replication is specified on the Replication Set level, and applies to all of its Replication Pairs. For a given Replication Set, you can enable or disable encryption between the source and destination machines.

    Replication Set level encryption encrypts data on the source computer, replicated across the network to the destination computer, and decrypted on the destination computer.

  • Auxiliary Copy level (for copies)

    Auxiliary Copy level encryption encrypts data during auxiliary copy operations enabling backup operations to run at full speed. If you are concerned that media may be misplaced, data can be encrypted before writing it to the media and keys stored in the CommServe database. In this way, recovery of the data without the CommServe is impossible – not even with Media Explorer.

    Here, data encryption keys are generated per storage policy copy of the archive file. Thus, if there are multiple copies in a storage policy, the same archive files in each copy gets a different encryption key. Individual archive files, however, will have different encryption keys.

  • Hardware level (all data)

    Hardware Encryption allows you to encrypt media used in drives with built-in encryption capabilities, which provides considerably faster performance than data or auxiliary copy encryption. The data encryption keys are generated per chunk on the media. Each chunk will have a different encryption key.

    Data Encryption Algorithms

    Supported algorithms and key lengths are listed in the following table.





  • Data Visualization in R, visualization data.#Visualization #data

    #

    Data Visualization in R

    This course is part of these tracks:

    Visualization data

    Ronald Pearson

    PhD in Electrical Engineering and Computer Science from M.I.T.

    Ron has been actively involved in data analysis and predictive modeling in a variety of technical positions, both academic and commercial, including the DuPont Company, the Swiss Federal Institute of Technology (ETH Zurich), the Tampere University of Technology in Tampere, Finland, the Travelers Companies and DataRobot. He holds a PhD in Electrical Engineering and Computer Science from M.I.T. and has written or co-written five books, including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python (CRC Press, 2016, with Moncef Gabbouj). Ron is the author and maintainer of the GoodmanKruskal R package, and one of the authors of the datarobot R package.

    Collaborator(s)

    • Visualization data

  • Visualization data

    Prerequisites

    Course Description

    This course provides a comprehensive introduction on how to plot data with R’s default graphics system, base graphics.

    After an introduction to base graphics, we look at a number of R plotting examples, from simple graphs such as scatterplots to plotting correlation matrices. The course finishes with exercises in plot customization. This includes using R plot colors effectively and creating and saving complex plots in R.

    Base Graphics Background

    R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2. Base graphics is the default graphics system in R, the easiest of the four systems to learn to use, and provides a wide variety of useful tools, especially for exploratory graphics where we wish to learn what is in an unfamiliar dataset.

    A quick introduction to base R graphics

    This chapter gives a brief overview of some of the things you can do with base graphics in R. This graphics system is one of four available in R and it forms the basis for this course because it is both the easiest to learn and extremely useful both in preparing exploratory data visualizations to help you see what’s in a dataset and in preparing explanatory data visualizations to help others see what we have found.

    • Visualization data

    The world of data visualization
    Creating an exploratory plot array
    Creating an explanatory scatterplot
    The plot() function is generic
    A preview of some more and less useful techniques
    Adding details to a plot using point shapes, color, and reference lines
    Creating multiple plot arrays
    Avoid pie charts

    Different plot types

    Base R graphics supports many different plot types and this chapter introduces several of them that are particularly useful in seeing important features in a dataset and in explaining those features to others. We start with simple tools like histograms and density plots for characterizing one variable at a time, move on to scatter plots and other useful tools for showing how two variables relate, and finally introduce some tools for visualizing more complex relationships in our dataset.

    • Visualization data

    Characterizing a single variable
    The hist() and truehist() functions
    Density plots as smoothed histograms
    Using the qqPlot() function to see many details in data
    Visualizing relations between two variables
    The sunflowerplot() function for repeated numerical data
    Useful options for the boxplot() function
    Using the mosaicplot() function
    Showing more complex relations between variables
    Using the bagplot() function
    Plotting correlation matrices with the corrplot() function
    Building and plotting rpart() models

    Adding details to plots

    Most base R graphics functions support many optional arguments and parameters that allow us to customize our plots to get exactly what we want. In this chapter, we will learn how to modify point shapes and sizes, line types and widths, add points and lines to plots, add explanatory text and generate multiple plot arrays.

    • Visualization data

    The plot() function and its options
    Introduction to the par() function
    Exploring the type option
    The surprising utility of the type n option
    Adding lines and points to plots
    The lines() function and line types
    The points() function and point types
    Adding trend lines from linear regression models
    Adding text to plots
    Using the text() function to label plot features
    Adjusting text position, size, and font
    Rotating text with the srt argument
    Adding or modifying other plot details
    Using the legend() function
    Adding custom axes with the axis() function
    Using the supsmu() function to add smooth trend curves

    How much is too much?

    As we have seen, base R graphics provides tremendous flexibility in creating plots with multiple lines, points of different shapes and sizes, and added text, along with arrays of multiple plots. If we attempt to add too many details to a plot or too many plots to an array, however, the result can become too complicated to be useful. This chapter focuses on how to manage this visual complexity so the results remain useful to ourselves and to others.

    • Visualization data

    Managing visual complexity
    Too much is too much
    Deciding how many scatterplots is too many
    How many words is too many?
    Creating plot arrays with the mfrow parameter
    The Anscombe quartet
    The utility of common scaling and individual titles
    Using multiple plots to give multiple views of a dataset
    Creating plot arrays with the layout() function
    Constructing and displaying layout matrices
    Creating a triangular array of plots
    Creating arrays with different sized plots

    Advanced plot customization and beyond

    This final chapter introduces a number of important topics, including the use of numerical plot details returned invisibly by functions like barplot() to enhance our plots, and saving plots to external files so they don’t vanish when we end our current R session. This chapter also offers some guidelines for using color effectively in data visualizations, and it concludes with a brief introduction to the other three graphics systems in R.

    • Visualization data





  • Data center dedicated server #data #center #dedicated #server

    เปิดตัวอาคาร Data Center แห่งใหม่

    CAT data center บริการศูนย์ Data Center แบบครบวงจร ไม่ว่าจะเป็น ให้บริการรับฝากเซิร์ฟเวอร์ (Server Co-location), ให้เช่าพื้นที่ (Temp Office) มั่นใจด้วยมาตรฐาน TSI Level 3 และ ISO 27001: 2013 มีระบบรักษาความปลอดภัยที่แน่นหนา ระบบไฟฟ้า 2 แหล่งจ่าย พร้อมเชื่อมต่อเข้ากับ Internet Gateway ที่ใหญ่ที่สุดของประเทศเพียบพร้อมอุปกรณ์ฮาร์ดแวร์/ซอฟต์แวร์ระดับ Premium ครอบคลุมการให้บริการทั่วประเทศ ด้วยศูนย์ Data Center มากที่สุดในประเทศไทยถึง 8 แห่ง

    บริการเช่าวางเซิร์ฟเวอร์สำหรับผู้ใช้ บริการที่ต้องการดูแลระบบในแบบของ ท่านเอง พร้อมเชื่อมต่อเข้าอินเทอร์เน็ต ผ่านโครงข่ายความเร็วสูง

    บริการสำนักงานให้เช่าชั่วคราว ณ อาคาร CAT Tower ชั้น 14 ติดกับ Server Room พร้อมคอมพิวเตอร์และ อุปกรณ์ สำนักงาน เพื่อใช้ปฏิบัติงาน ในกรณีที่เกิดเหตุฉุกเฉินแก่หน่วยงานหลัก (Main Site) ไม่สามารถใช้งานตามแผนของ ระบบ Disaster Recovery Site (DRSite)

    เปิดตัว CAT data center Nonthaburi II มาตรฐาน TSI level 3 แห่งแรกและแห่งเดียวในอาเซียน Thu, 08/20/2015 – 14:58

    บริการ CAT data center เปิดตัวอาคาร Data Center แห่งใหม่ ที่นนทบุรี พร้อมรองรับการใช้งานอย่างเต็มรูปแบบ Tue, 08/04/2015 – 14:54

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    LG Get Product Support #lg #customer #service, #lg #support, #lg #firmware #update,

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    Get Product Support

    Find my model #? Would you like to register a product?

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    Outsourcing Data Entry Services to ARDEM to Improve ROI #data #entry #outsourcing

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    ARDEM. TRUST YOUR TEAM.

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    Next programming language #programming, #software #development, #devops, #java, #agile, #web, #iot, #database,

    #

    Why .NET Core Made C# Your Next Programming Language to Learn

    Why .NET Core Made C# Your Next Programming Language to Learn

    Get Your Apps to Customers 5X Faster with RAD Studio

    For years I have read about polyglot programmers and how some new language was the new cool thing. Over time, it has been programming languages like Ruby, Python, Scala, Go, Node.js, Swift, and others. It is amazing to see what Microsoft, and the community, have done with .NET Core and how it has become the cool new thing.

    The problem with many of the existing programming languages is they are good at one use case. Ruby and PHP are awesome for web applications. Swift or Objective-C are great for creating iOS or MacOS applications. If you wanted to write a background service you could use Python, Java, or other languages. Besides C#, JavaScript and Java may be the only languages that can be applied to a wide set of use cases.

    It is hard for me to apply my skills to a broad set of problems if I have to learn many programming languages. It limits my job opportunities. The awesome thing about C# is the wide versatility of it that can be used for a wide variety of types of applications. Now with .NET Core working on MacOS and Linux, there truly is no limit to what you can do. We will explore this in more detail below.

    Why C# and .NET Core Are the Next Big Thing

    I have been playing with .NET Core for over a year now and have been very impressed with it. I have even ported a .NET app over to run on a Mac, which was pretty amazing to see in action after all these years!

    Since our company creates developer tools that also work with .NET Core, I feel like we are more plugged in to what is going on. It feels like .NET Core is picking up steam fast and I predict there will be a huge demand for .NET Core developers in 2018. We talk to customers every day who are already running .NET Core apps in production.

    According to the TIOBE programming index. C# is already one of the top 5 programming languages.

    Top 6 Things to Know About C# and .NET Core

    If you are thinking about learning a new programming language, I want to provide you some of my insights as to why C# and .NET Core should be on the top of your list.

    Easy to Learn

    If you have done any programming in C, Java, or even JavaScript, the syntax of C# will feel very familiar to you. The syntax is simple to understand and read. Based on the TIOBE index I posted above, there are millions of developers who could easily make the switch from Java or C.

    There are lots of online resources to help you learn C#. Many are free and there are some that are low cost as well.

    Modern Language Features

    NET has been around a long time now and has steadily changed and improved over 15 years. Over the years I have seen awesome improvements like MVC, generics, LINQ, async/await, and more. As someone who has personally dedicated myself to the language, it is awesome to see it improve over time. With .NET Core, a lot has changed, including all of the ASP.NET stack being completely overhauled.

    Here are some the top features:

    • Strongly typed.
    • Robust base class libraries.
    • Asynchronous programming – easy to use async/await pattern.
    • Garbage collection, automatic memory management.
    • LINQ – Language Integrated Queries.
    • Generics – List T , Dictionary T, T .
    • Package management.
    • The ability to share binaries across multiple platforms and frameworks.
    • Easy to use frameworks to create MVC web apps and RESTful APIs.

    Versatility: Web, Mobile, Server, Desktop

    One of the best things about C# and .NET is the versatility of it. I can write desktop apps, web applications, background services, and even mobile apps thanks to Xamarin. Besides C#, all I really have to know is a little JavaScript (aided by TypeScript) to hack some UI code together (which I still try to avoid!). ASP.NET Core templates even make use of Bootstrap layouts and npm for pulling in client-side libraries.

    The versatility is a big deal because your investment in learning the language can be used for a wide array of things. Your skillset is highly portable. You can also jump from building web apps to mobile apps if you want to mix up what you are doing. This is a stark difference to most other programming languages that only work server side.

    And let’s not forget the first class support for Microsoft Azure. It’s never been easier to get up and running and then deployed to the cloud in just a few clicks. Docker containers are also supported which makes it easy to deploy your app to AWS or other hosting providers as well.

    Awesome Developer Tools

    Visual Studio has always been regarded as one of the best IDEs available for developers. It is a great code editor that supports features like code completion, debugging, profiling, git integration, unit testing, and much more. Visual Studio now offers a full-featured, free Community edition.

    It is also possible to write code for .NET Core as basic text files with your favorite text editor. You can also use Visual Studio Code on any OS as a great basic code editor. For those of you who will never give up your vim or emacs, you can even do C# development too. You could also install a plug-in for Visual Studio to add all of your favorite shortcut keys.

    The whole .NET ecosystem is also full of amazing developer tools. For example, I couldn’t imagine living without Resharper from Jetbrains. There are dozens of awesome tools that exist, including a mixture of open source and commercial products.

    Standardization of Skills

    NET comes with a very good set of base class libraries. Unlike Node.js, simple string functions like LeftPad() are built in. The wide array of base classes really decreases the need for external packages. Microsoft does lean on some community projects as well, like JSON.NET, to be key libraries widely used in most projects.

    Microsoft provides a very good set of patterns and practices for .NET. For example, there are standard data access (entity framework) and model-view-controller (MVC) frameworks built-in. Most developers use those standard frameworks. This makes it easy as a developer to move between teams and quickly understand how things work. Your knowledge and skills become more portable due to this.

    .NET Core Is Open Source

    One of the biggest changes to ever happen to .NET was the open sourcing of the code. Virtually all of the code is now on GitHub for anyone to review, fork, and contribute to. This is a huge change that most people in the industry never thought would happen.

    As a developer, from time to time you need to look under the covers to see what your code is really doing. For example, in the past, I once wondered if I called Dispose() on a database connection if that closes the connection or not. If you can access the source code somehow, you can quickly verify these types of questions.

    Even if you don’t contribute to the source code, you benefit from the huge community that is. Problems and improvements are quickly discussed, coded, and released for you to use on a regular basis. Gone are the days of waiting years in-between releases for major improvements or minor bug fixes.





    GeSI home: thought leadership on social and environmental ICT sustainability #global #e-sustainability

    #

    Building a sustainable world through responsible, ICT-enabled transformation

    Developing key tools, resources and best practices to be part of the sustainability solution

    Providing a unified voice for communicating with ICT companies, policymakers and the greater sustainability community worldwide

    UNFCCC / Momentum for Change

    How digital solutions will drive progress towards the sustainable development goals

    SMARTer2030 Action Coalition

    Members

    Project Portfolio

    Thought Leadership

    News Events

    Interview with Carmen Hualda, CSR Manager at Atlinks Holding Atlinks Holding is the winner of this year’s Leadership Index in the Manufacture & Assembly of ICT Equipment sector (SMEs). We speak to their CSR-QHSE Manager, Carmen Hualda. Read More Big Data for big impact: Let’s accelerate sustainability progress We now live in an era of exponential growth for data flows driven by the proliferation of connected objects in the Internet of Things (IoT) ecosystem. Read More Innovation our way to the SDGs – a forum summary report The Global e-Sustainability Initiative (GeSI) and Verizon recently hosted a multi-stakeholder forum to identify the potential for information and communications technology (ICT) to catalyze progress towards the 17 UN Sustainable Development Goals (SDGs). Leaders from the ICT industry, other industry sectors, the technology startup sector, financial community, sustainability NGOs, academia, multilateral organizations, government, and media convened at the Verizon Innovation Center in San Francisco to spend a day focusing on the potential for innovative technology to address four priority solutions core to advancing the SDGs: (1) Food and agriculture; (2) Energy and climate; (3) Smart, sustainable communities; (4) Public health. Read More

    To practise what we preach the GeSI website is hosted on an environmentally-friendly data centre located in Toronto, Canada. Green methods were employed wherever possible in the construction and for the ongoing and future operation of the data centre.

    Become a Member

    Each of us has the opportunity to help change the world. Join GeSI to work directly with members of the ICT sector and the greater sustainability community worldwide to alter the direction of how technology influences sustainability.





    ABB data center technology earns acclaim and $50 million string of bundled

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    ABB data center technology earns acclaim and $50 million string of bundled orders

    2013-05-08 – The approximately half million data centers operating globally are the backbone of our digital society and must be efficient, safe and dependable. ABB has supplied the highest quality, most reliable components to data centers for many years and we recently initiated a concerted approach toward expanding our data center capabilities. Today we are well positioned as a single-source supplier for integrated data center systems and packaged solutions.

    We have focused resources through a dedicated data center industry sector initiative and accompanying growth strategy that has led to:

    • Increasingly bundle our offerings through collaboration across all divisions
    • Increase our overall R D investment
    • Leverage offerings from acquired companies, including Baldor, Thomas Betts, Ventyx, ValidusDC and Newave
    • Partner with the world-leading manufacturers of IT hardware
    • Co-develop with innovative newcomers such as Power Assure and Nlyte
    • Broaden our advancements in electrical distribution, grid connections, infrastructure management and emergency power systems

    These investments have been validated with a string of key market successes. In addition to component equipment orders, during a recent six-week period ABB was awarded expanded projects totaling $50 million:

    • Belgium: a global Internet company will expand its data center with ABB medium- and low-voltage (MV and LV) switchgear, transformers, a power management and control system, and comprehensive site services.
    • China: a telecom and two Internet companies have entered into multi-year frame agreements with ABB for the supply of LV switchgear and power distribution units (PDUs).
    • U.K. a world-leading biomedical research and innovation center has called on ABB for MV and LV switchgear, transformers, battery systems and site services.
    • Germany: ABB LV switchgear has been incorporated into the data center solution of a competitor at the request of the customer, a public agency.
    • India: a new data center ordered advanced LV switchgear and PDUs jointly developed by ABB’s Low Voltage Systems business unit and Thomas Betts Power Solutions unit.
    • Mexico: a large financial institution contracted with ABB for a high-voltage gas-insulated substation, MV and LV switchgear, transformers and a two-year service agreement – also coming in collaboration with Thomas Betts Power Solutions unit.
    • Singapore: a global software company’s new data center will rely on our MV and LV switchgear, transformers, station battery system and service.

    Our global reach and project execution abilities have been primary motivators for these customers to choose ABB. In addition, today’s data centers need to ensure the safety of personnel, facilities and equipment while simultaneously maintaining 24/7/365 availability of mission critical systems. Here ABB quality has a key advantage with our full suite of offerings.

    Furthermore, ABB has been extending its expertise in AC power systems to pioneer DC systems, as well. Our purpose is to offer a proven DC alternative for data centers. “ABB believes both AC and DC are relevant in today’s world,” said Tarak Mehta, who heads ABB’s Low Voltage Products Division. “Our customers benefit from our optimized solutions that help them achieve capital savings, and improve energy efficiency and reliability.”

    Currently, ABB is working with industry thought leaders to create a complete DC-enabled infrastructure for data centers, with a comprehensive solutions suite for both UL and IEC markets.

    Whether delivered as AC or DC, power and environmental compatibility are primary concerns of data center managers. On average, a single facility consumes power equivalent to 25,000 homes, and collectively the amount of CO2 emissions resulting worldwide is rapidly approaching levels generated by nations the size of Argentina or the Netherlands.

    ABB has developed Decathlon™. a highly intelligent data center infrastructure monitoring (DCIM) solution. Decathlon automates power and energy management, asset and capacity planning, alarm management, remote monitoring and other key data center functions, integrating every aspect of monitoring and control into a unified, open platform.

    “There are few suppliers with offerings spanning the utility all the way to the power distribution system in the data center and also encompass infrastructure control,” said ABB Data Center Global Leader Valerie Richardson. “Combining this breadth with our global manufacturing, local project execution and service capabilities, we streamline the purchase process and deliver solutions to our customers through a single point of contact.”

    Stay in the loop:





    Security Assessment, VAPT, ECSA Training in Bangalore, Chennai, Mumbai, Pune, Delhi, Gurgaon,

    #

    A penetration test is done to evaluate the security of a computer system or network by simulating an attack by a malicious user / hacker. The process involves active exploitation of security vulnerabilities that may be present due to poor or improper system configuration, known and / or unknown hardware or software flaws, or operational weaknesses in process or design.

    This analysis is carried out from the position of a potential attacker, to determine feasibility of an attack and the resulting business impact of a successful exploit. Usually this is presented with recommendations for mitigation or a technical solution.

    About this workshop

    This workshop gives an in-depth perspective of penetration testing approach and methodology that covers all modern infrastructure, operating systems and application environments.

    This workshop is designed to teach security professionals the tools and techniques required to perform comprehensive information security assessment.

    Participants will learn how to design, secure and test networks to protect their organization from the threats hackers and crackers pose. This workshop will help participants to effectively identify and mitigate risks to the security of their organization s infrastructure.

    This 40 hour highly interactive workshop will help participants have hands on understanding and experience in Security Assessment.

    A proper understanding of Security Assessment is an important requirement to analyze the integrity of the IT infrastructure.

    Expertise in security assessment is an absolute requirement for a career in information security management and could be followed by management level certifications like CISA, CISSP, CISM, CRISC and ISO 27001.

    There are many reasons to understand Security Assessment:

    • Prepare yourself to handle penetration testing assignments with more clarity
    • Understand how to conduct Vulnerability Assessment
    • Expand your present knowledge of identifying threats and vulnerabilities
    • Bring security expertise to your current occupation
    • Become more marketable in a highly competitive environment

    Therefore this workshop will prepare you to handle VA / PT assignments and give you a better understanding of various security concepts and practices that will be of valuable use to you and your organization.

    This workshop will significantly benefit professionals responsible for security assessment of the network / IT infrastructure.

    • IS / IT Specialist / Analyst / Manager
    • IS / IT Auditor / Consultant
    • IT Operations Manager
    • Security Specialist / Analyst
    • Security Manager / Architect
    • Security Consultant / Professional
    • Security Officer / Engineer
    • Security Administrator
    • Security Auditor
    • Network Specialist / Analyst
    • Network Manager / Architect
    • Network Consultant / Professional
    • Network Administrator
    • Senior Systems Engineer
    • Systems Analyst
    • Systems Administrator

    Anyone aspiring for a career in Security Assessment would benefit from this workshop. The workshop is restricted to participants who have knowledge of ethical hacking countermeasures.

    The entire workshop is a combination of theory and hands-on sessions conducted in a dedicated ethical hacking lab environment.

    • The Need for Security Analysis
    • Advanced Googling
    • TCP/IP Packet Analysis
    • Advanced Sniffing Techniques
    • Vulnerability Analysis with Nessus
    • Advanced Wireless Testing
    • Designing a DMZ
    • Snort Analysis
    • Log Analysis
    • Advanced Exploits and Tools
    • Penetration Testing Methodologies
    • Customers and Legal Agreements
    • Rules of Engagement
    • Penetration Testing Planning and Scheduling
    • Pre Penetration Testing Checklist
    • Information Gathering
    • Vulnerability Analysis
    • External Penetration Testing
    • Internal Network Penetration Testing
    • Routers and Switches Penetration Testing
    • Firewall Penetration Testing
    • IDS Penetration Testing
    • Wireless Network Penetration Testing
    • Denial of Service Penetration Testing
    • Password Cracking Penetration Testing
    • Social Engineering Penetration Testing
    • Stolen Laptop, PDAs and Cell phones Penetration Testing
    • Application Penetration Testing
    • Physical Security Penetration Testing
    • Database Penetration testing
    • VoIP Penetration Testing
    • VPN Penetration Testing
    • War Dialing
    • Virus and Trojan Detection
    • Log Management Penetration Testing
    • File Integrity Checking
    • Blue Tooth and Hand held Device Penetration Testing
    • Telecommunication and Broadband Communication Penetration Testing
    • Email Security Penetration Testing
    • Security Patches Penetration Testing
    • Data Leakage Penetration Testing
    • Penetration Testing Deliverables and Conclusion
    • Penetration Testing Report and Documentation Writing
    • Penetration Testing Report Analysis
    • Post Testing Actions
    • Ethics of a Penetration Tester
    • Standards and Compliance




    Five Steps to Aligning IT and Business Goals for Data Governance #data

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    Five Steps to Aligning IT and Business Goals for Data Governance

    Address a complex, difficult issue: aligning IT and business around a central data management plan.

    Here s an interesting question: How do you create a successful data governance strategy across a large organization?

    The International Association for Information and Data Quality recently published a lengthy piece that explains how you can coordinate such a data governance and master data management strategy by using a very specific tool: an alignment workshop .

    Kelle O Neal founded the MDM and customer data integration consultancy First San Francisco Partners, but she s also worked for Siperian, GoldenGate Software, Oracle and Siebel Systems.

    Alignment is a key first step in any change management initiative and is especially important to an organization that is trying to better govern and manage data, writes O Neal. Many organizations struggle with launching and sustaining a data program because of a lack of initial alignment.

    Kelle suggests the Alignment Workshop as a proactive approach to the problem.

    As you might imagine, it involves bringing everyone together – the lines of business, IT and various stakeholders. Kelle writes that the benefits to such a meeting are two-fold:

    • You can educate everyone about data quality, MDM and data governance from the get-go.
    • It supports buy-in and helps maintain long-term interest.

    That part about maintain long-term interests should be your first clue that this is NOT a one-time event. In fact, she describes it as five components, each building upon the previous components.

    In brief, the five components are:

    1. Confirm the value of the data initiative to IT and the business/operational groups separately. Everybody lists what they see as the benefits, and then you prioritize and map these values. She includes a value-mapping matrix to help you visualize this process, but the gist is that you re pairing up what matters to IT with the business values.

    So, for instance, an IT value might be to create a single data brokerage architecture, but that s tied to the business values of focusing on value-added activities, creating consistency in reporting, adhering to regulations and more efficient support processes.

    This serves to identify, illustrate and confirm the overlap between what is important to the business and what is important to IT, Kelle writes.

    2. Identify the stakeholders goals. You might assume that the stakeholders goals would either align with IT or business/operations. That s not necessarily true. Even if the end goals are the same, it doesn t mean the stakeholder will share your priorities or have the same concerns about the project.

    So, this is your chance to hear from the people who really will be handling the day in, day out management of any governance or MDM project. Part of this process is also clearly defining what the consequences are if the goals are not achieved.

    Personally, I love this kind of if-then logic, because I think it makes it very clear why individual employees should support concepts that can often seem overly vague – like data governance.

    3. Create linkages between the delivery of the solution and what s important to individual stakeholders. Here, you re really drilling down and assigning tasks to individuals, and explaining how those tasks relate to the broader goals. The top data program deliverables are identified for each stakeholder and mapped to their goals.

    Stakeholders can now clearly see and articulate how those deliverables can help them achieve their business goals , Kelle writes.

    Again, she offers a sample chart if you re having trouble visualizing what that means.

    4. Determine success criteria and metrics. We all know the maxim about what gets measured gets done, but this brings it a step closer to home by setting targets for specific stakeholders so they can measure and monitor their own progress.

    5. Establish a communication plan. She goes into some detail about this, but, basically, this translates into documenting what s been said, as well as how progress should be reported and to whom.

    As I said, it s very detailed and lengthy, but it addresses a complex, difficult issue: aligning IT and business around a central data management plan.





    Data protection #continuous #data #protection

    #

    Privacy

    BASF Online Data Protection Rules

    BASF is delighted that you have visited our website and thanks you for your interest in our company.

    At BASF, data protection has the highest priority. This document is designed to provide you with information on how we are following the rules for data protection at BASF, which information we gather while you are browsing our website, and how this information is used. First and foremost: your personal data is only used in the following cases and will not be used in other cases without your explicit approval.

    Collecting data

    When you visit the BASF website, general information is collected automatically (in other words, not by means of registration) which is not stored as personal related data. The web servers that are used store the following data by default:

    • The name of your internet service provider
    • The website from which you visited us
    • The websites which you visit when you are with us
    • Your IP address

    This information is analyzed in an anonymous form. It is used solely for the purpose of improving the attractiveness, content, and functionality of our website. Where data is passed on to external service providers, we have taken technical and organizational measures to ensure that the data protection regulations are observed.

    Collecting and processing personal data

    Personal data is only collected when you provide us with this in the course of, say, registration, by filling out forms or sending emails, and in the course of ordering products or services, inquiries or requests for material.

    Your personal data remains with our company, our affiliates, and our provider and will not be made available to third parties in any form by us or by persons instructed by us. The personal data that we do collect will only be used in order to perform our duties to you and for any other purpose only when you have given specific consent. You can adjust your consent for the use of your personal data at any time with an email to the effect that you revoke your consent in the future to either the email address listed in the imprint or to the data protection representative (contact information listed below).

    Data retention

    We store personal data for as long as it is necessary to perform a service that you have requested or for which you have granted your permission, providing that no legal requirements exist to the contrary such as in the case of retention periods required by trade or tax regulations.

    Security

    BASF deploys technical and organizational security measures to protect the information you have made available from being manipulated unintentionally or intentionally, lost, destroyed or accessed by unauthorized persons. Where personal data is being collected and processed, the information will be transferred in encrypted form in order to prevent misuse of the data by a third party. Our security measures are continuously reviewed and revised in line with the latest technology.

    Right to obtain and correct information

    You have the right to obtain information on all of your stored personal data, to receive, to review, and if necessary to amend or erase. To do this, just send an email to the email address indicated in the imprint or to the person in charge of data protection (see below for the relevant contact details). The deletion of your personal data will be completed unless we are legally obligated to store the information.

    Cookies

    On our corporate website, we only use cookies if they are required for an application or service which we provide. If you would like to opt out of the advantages of these cookies, you can read in the help function on your browser how to adjust your browser to prevent these cookies, accept new cookies, or delete existing cookies. You can also learn there how to block all cookies or set up notifications for new cookies.

    The Cookies which we currently use on the website are listed in the following table.

    With this cookie the web analytics tool Webtrends, gathers anonymous information about how our website is used. The information collected helps us to continually address the needs of our visitors. Information stored are e.g. how many people visit our site, from which websites they come and what pages they view. Further information can be found in the statement on data protection from Webtrends .

    Erased two years after site visit

    We use the DoubleClick cookie to compile data regarding user interactions with ad impressions and other ad service functions as they relate to our website.

    Erased two years after site visit

    Contact

    If you have any questions or ideas, please refer to the data protection representative at BASF SE, who will be pleased to help you. The continuous development of the Internet makes it necessary for us to adjust our data protection rules from time to time. We reserve the right to implement appropriate changes at any time.

    General Contact

    Ralf Herold Data Protection Officer at BASF SE, COA – Z 36 67056 Ludwigshafen +49 (0) 621 60-0

    • Contact the Data Protection Officer at BASF

    Join the conversation

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    Copyright © BASF SE 2017





    5 ways hospitals can use data analytics #data #analytics #healthcare

    #

    When it comes to healthcare analytics, hospitals and health systems can benefit most from the information if they move towards understanding the analytic discoveries, rather than just focusing on the straight facts.

    George Zachariah, a consultant at Dynamics Research Corporation in Andover, Mass. explains the top five ways hospital systems can better use health analytics in order to get the most out of the information.

    1. Use analytics to help cut down on administrative costs.

    To reduce administrative costs it s really one of the biggest challenges we face in the industry, said Zachariah. One-fourth of all healthcare budget expenses are going to administrative costs, and that is not a surprise because you need human resources in order to perform.

    Zachariah suggests that hospital systems begin to better utilize and exchange the information they already have by making sure their medical codes are properly used, and thus, the correct reimbursements are received.

    Right now, with electronic medical records, you can see that automated coding can significantly enhance how we can turn healthcare encounters into cash flow by decreasing administrative costs, he said.

    Zachariah said that having all medical tests, lab reports and prescribed medications for patients on one electronic dashboard can significantly improve the way clinicians make decisions about their patients while at the same time cutting costs for the organization.

    If all the important information is on one electronic dashboard, clinicians can easily see what needs to get done for a patient, and what has already been done. They can then make clinical decisions right on the spot, he said. In addition, clinicians will not be double-prescribing patients certain medications due to the lack of information they have on the patient.

    3. Cut down on fraud and abuse.

    Zachariah said that with such a significant amount of money lost in the healthcare industry due to fraud and abuse, it s important for organizations to use analytics for insight into patient information and what physicians are doing for their patients.

    Analytics can track fraudulent and incorrect payments, as well as the history of an individual patient, he said. However, it s not just about the analytic tool itself but understanding the tool and how to use it to get the right answers.

    4. Use analytics for better care coordination.

    Zachariah believes that the use of healthcare analytics in the next 10 years is going to be extremely important for hospital systems.

    Even within the same hospital systems, it can be very disjointed, he said. I think we need to use analytics to help with patient handoff, both within systems and between all types of healthcare organizations across the country. Historically, within many organizations different specialties just didn t communicate to one another about a patient, and I think we can really work to have all records reachable across the country.

    5. Use analytics for improved patient wellness.

    Analytics can help healthcare organizations remind patients to keep up with a healthy lifestyle, as well as keep track of where a patient stands in regard to their lifestyle choices, said Zackariah.

    Analytics can be used to provide information on ways a certain patient can modify his or her lifestyle, he said. This makes a patient s health a huge priority and I don t think people will mind be reminded to take care of themselves.





    Enterprise Mobile Security Solutions #security #challenges #in #mobile #devices, #mobile #security; #mobile

    #

    Mobile Security

    Mobility increases risk of breach

    Mobile technology has made the network security challenge much bigger and more diverse. Use of mobile devices and apps has introduced a wide range of new attack vectors and new data security challenges for IT.

    • 94 percent of security professionals expect mobile security incidents to increase
    • 64 percent of security professionals doubt their companies can prevent a mobile breach

    Early mobile security market solutions addressed specific pain points, but they fail to provide comprehensive protections. The dismal statistics on mobile data security clearly indicate that attackers are exploiting coverage gaps and leaving organizations vulnerable to devastating—and embarrassing—breaches.

    Unsecured devices are the norm

    Your employees use a wide variety of personal devices on the job, but few companies bother to secure them.

    • 36 percent of companies inadequately secure mobile devices
    • 38 percent of companies deployed a mobile threat defense solution

    SandBlast Mobile

    Using smartphones and tablets to access critical business information on the go has many benefits, but it can also expose sensitive data to risk. Check Point SandBlast Mobile protects iOS and Android devices from advanced mobile threats, ensuring you can deploy and defend devices with confidence.

    Check Point Capsule

    Mobile security and complexity don’t have to go hand in hand. Check Point Capsule is one seamless solution that addresses all your mobile security needs. Capsule provides a secure business environment for mobile device use and protects business documents wherever they go.

    Endpoint Security

    Mobile endpoints are a frequent source of data loss and attacks. Check Point Endpoint Security is a single agent providing data security, network security, threat prevention and a remote access VPN for complete Windows and Mac OS X security. As an integrated suite, Endpoint Security provides simple, unified management and policy enforcement.





    Sensitivity Analysis in Excel Template Example DCF Guide #excel # #data #analysis

    #

    How to Do DCF Valuation Using Sensitivity Analysis in Excel

    In this post, we are going to see Sensitivity Analysis in Excel.

    Discounted Cash flow is probably the commonest ways of valuation of a company. This method involves amongst other things analyzing the impact of factors like cost of equity or change in risk-free rate on the price of a company’s share.

    It is but obvious that any company operates in a dynamic environment and hence for investors it is imperative that the model so built gives the investor a range of price movement so that they are prepared with respect to the possible price fluctuations that they might have to encounter if they decide to stay invested in the company.

    Investors can gauge the sensitivity of price to various inputs using a technique called “sensitivity analysis”.

    Sensitivity analysis is especially useful in cases where investors are evaluating proposals for the same industry or in cases where proposals are from multiple industries but driven by similar factors

    What Is Sensitivity Analysis?

    As the words suggest, in sensitivity analysis, we try and ascertain the impact of a change in outcome for changes in inputs. In other words, it is also a function of the effect of various inputs to the outcome and also the impact that each input has.

    The most common tool available for us to do sensitivity analysis is Microsoft Excel .

    So How Do We Do It?

    In Excel, sensitivity analysis comes under “What-if” analysis functions. The following are used most often

    1. One-Variable Data Table

    2. Two-Variable Data Table

    Data Tables

    1. One-Variable Data Table

    Let us assume that we would like to know the impact that any change in cost of equity on the discounting factor which would be used to calculate discounting factor. Our model currently shows that the discounting factor at 15.1% cost of equity is approximately 0.97.

    Now if we need to analyze the impact of change in cost of equity on discounting factor, then we could do the following:

    a) Type the list of values that you want to evaluate in the input cell either down one column or across one row.

    b) Leave a few empty rows and columns on either side of the values.

    c) If the data table is column-oriented (your variable values are in a column), type the formula in the cell in a manner similar to how we have done in cell P9 .

    d) Select the range of cells that contains the formulas and values that you want to substitute. For us, this range is O9:P22.

    e) The results i.e. incremental changes in discounting factor would automatically appear in cells P9:P22 .

    2. Two-Variable Data Table

    Let us take another example wherein we need to analyze the impact of change in not only cost of equity but also risk-free rate on the Value per Share.

    If we need to factor in both these variables, then we would be using a two-variable data table for sensitivity analysis in Excel.

    The following are the additional steps that we need to do to include the two variables:

    a) Since the data table has both columns and rows, hence the formula cell shifts exactly above the column variable and right beside the row variable, which for us is cell E18 .

    b) Select the range of cells that contains the formulas and values that you want to substitute. For us, this range is E18:L24 .

    c) On the Data tab, click What-If Analysis, followed by“Data Table”. Type the cell reference

    • For the “Columninput” cell box, for us it s O13 .
    • For the Rows input cell box, for us it s O20 .

    d) The results i.e. the possible variations in would automatically appear in cells E19:L25 .

    Goal Seek

    This function is used to find the missing input for the desired result.

    Let s take the example of the model that we have used for Data Tables. Here let s say we know the cost of equity. However, we are not sure what would be the market risk premium. In this scenario “Goal Seek” is an excellent function for sensitivity analysis in Excel.

    a) On the Data tab, click What-If Analysis and then click “Goal Seek”.

    b) In the Set cell box, enter O20, the cell with the formula you want
    in our case it’s the average cost of equity.

    c) In the To value box, type the target value i.e. 15.1%.

    d) In the By changing cell box, enter O14, the reference to the cell that contains the value that you want to adjust.

    e) Click OK and the result would come up as 12.3% after rounding off.

    I have also created a video to help you understand how to use sensitivity analysis for DCF valuation.

    Thus to conclude, we can state that Excel allows us to use various tools to make our lives easier.

    In financial modeling, one of the key components to efficiently perform requirements related to interpreting sensitivity is by using What-If Analysis with various steps as mentioned above.

    Using Data tables and goal seek function we can save ourselves from a lot of time and error wastage that may occur in case you decide to do the calculations by hand.

    In all probability, learning effective use of sensitivity analysis in Excel would make us better prepared to understand the impact of inputs on the value of investments and hence keep us better prepared for fluctuations once we commit our investments.

    Next Batch Starts on 24th July, 2017

    Our Full Time Financial Modeling Investment Banking Course (6 Weeks) starts on 24th July, 2017 and 2.5 Months Weekend Workshop starts on 12th August, 2017 in New Delhi, India .

    Only a few seats remain. Interested candidates can contact me.

    View All BIWS Courses –Free $97 Bonus for FinanceWalk Readers

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    Learn the best tools, get Discount Coupon Codes and Bonus to build a powerful career in finance.





    Big Four – Firm Deloitte Invests in First Blockchain Startup #big #data

    #

    Professional services firm Deloitte has invested in blockchain startup SETL.

    The funding represents the first time the professional services firm has publicly invested in a blockchain startup, a Deloitte representative confirmed, though he declined to disclose the amount when reached.

    SETL, which is based in London, is one of a number of startups worldwide looking to apply the tech to payment and settlement, and it recently became part of a regulatory sandbox initiative launched by the UK’s Financial Conduct Authority.

    The funding comes less than a month after the two firms announced the development of a contactless payment card for Metro Bank that uses blockchain tech to settle transactions. As reported at the time, the project is expected to reach commercial production in 2017.

    To date, Deloitte has partnered with a range of startups in the space to develop blockchain prototypes – work that representatives from the firm say is aimed at offering new kinds of services to its global client base.

    David Myers, head of capital markets for Deloitte, said of the funding:

    “Blockchain has the ability to transform the industry, and we have been investing heavily in real-world applications, such as identity management, cross-border payments, loyalty, trade finance and a number of others. By harnessing the capabilities of SETL’s blockchain, we can provide our clients with even more practical and transformational solutions.”

    According to SETL, the investment came after a year of collaboration between the two companies.

    “We have been working with the firm over the past 12 months, and today’s announcement demonstrates Deloitte’s ongoing commitment to engage with our platform,” said CEO Peter Randall.

    “Together, we have the opportunity to offer a unique blockchain service to a range of financial services companies.”





    Backup live mail #online #backup, #data #backup, #msp #backup, #white #label #backup,

    #

    RBackup Remote Backup Software works like regular data backup software, but with one important difference. Instead of sending backups to a tape drive or other media attached to the computer it is backing up, RBackup online backup software sends the backup over the Internet or other network connections to your online backup server safely offsite. It does this (usually) at night while computers are not being used. Backups can also be done on-demand, any time.

    It is completely automatic. In fact, you may even forget it’s working. Most businesses put their lives on the line every night and don’t realize it. With businesses depending more and more on the data stored in their computers, proper backups are becoming much more critical.

    RBackup Online Backup Software constantly re-evaluates the computer system, adding files to the backup as needed. Several full copies of files are stored using a sophisticated version control system unavailable in most other backup software of any kind. The general definition of “proper” backups requires redundancy. One must keep multiple copies of the same files at different points in their development, called versions. As an example, you should have a different copy of each backed-up file for each backup session. Further, you should be able to easily restore any of your files up to any given point in time. Banks do it, big corporations do it, and so should small businesses. Only RBackup has such an easy to use version control system.

    Backups are encrypted for complete security. Tape backups are not generally encrypted, so anyone can read them and gain access to client database, billing records, payroll, tax info, and everything else on computers. RBackup encrypts its backups using your choice of eight of the strongest cryptographic methods in the world for complete security so nobody, not even the RBS Service Provider, can read the files.

    Finally and most importantly – Backups are immediately sent offsite and stored safely away from the clients’ computers and their businesses. This is where almost every business makes its biggest mistake. Even if they do everything else perfectly, backups are of little use if their building burns, or they are unable to physically recover their tapes from the premises. Most small companies who do backups leave the tapes in the building with the computer, where they can be destroyed right along with the computer.

    RBackup Online Backup Software – Back up at the file level, database level, VMware Workstations, and full disk images. RBackup can maintain immediately mountable VHD files for lightning fast onsite disaster recovery.

    There are built-in agents to back up all versions of Exchange at the brick level, SQL Server, Active Directory, Sharepoint, Windows VSS and other “special” databases and file sets, including file that are open and in use. Using our Redundant Hybrid Backup, your clients’ data can be sent — encrypted, compressed, and compliant — to up to three different locations for maximum security. Restores can be performed over the internet or, directly from your RBackup Server directly to a local drive, and by shipping a fully encrypted, fully compliant backup via USB drive.

    First full backups can be “seeded” via portal hard drive.

    Between our vast feature set and iron-clad security protocols, you’ll be equipped to handle virtually anything a client can throw at you. Advanced compression and Bit Backup ensure that you’re ready to handle graphic artists or firms, and secure encryption helps you maintain compliance with HIPAA, GLB, and SOX so you can cover medical offices or CPAs.

    RBackup is licensed by the types of end user accounts that are added. Adding end user accounts uses Licenses on the server, depending on the edition of the Client software installed.

    Permanent Licenses are used by our Standard Licensing Model software – Starter Packs, Premium Packs, and All Inclusive Packs. This is our one-price, lifetime license model. Permanent Licenses never expire, they recycle automatically, and they never need to be renewed. Adding new client accounts uses Licenses from the Server. Deleting accounts returns Licenses to the Server.

    Monthly Licenses are used if you choose a Subscription Licensing Model when you purchase your software. Under the Subscription Model, Monthly Licenses are used up monthly and must be replenished when they run out.

    Interested? Need more info? Contact us to schedule a one hour demonstration, ask questions, or get technical support.

    Remote Backup Systems also offers a fully-functional 15-day trial. Take some time to experience the world’s most popular, feature-rich offsite data backup software for yourself in a live environment. If you like it, we can activate your trial to live in just a few minutes, with no need for you to start over from scratch. Your RBackup evaluation includes Priority technical support and access to all of the core software’s features.





    Data recivery #data #recivery

    #

    Putting the Power
    of Forensics in
    Your Hands

    Celebrating our Past, Architecting our Future

    Take Your Investigations
    to New Heights with AccessData 6.2

    Win a Trip for 2 to Dubai with the AccessData Future Tellers Contest!

    FORENSIC TOOLKIT

    Zero in on relevant evidence quickly and dramatically increase analysis speed with the unmatched processing and stability of FTK . Powerful and proven, FTK processes and indexes data up front for faster searching. Unlike other solutions, FTK uses one shared case database, reducing the cost and complexity of multiple datasets.

    AD LAB

    With AD Lab, you can truly divide labor between teams, improve collaboration and power through massive data sets and varying data types, all in an intuitive, web-based interface. Instead of dealing with slow-downs as you wait to get the information you need to proceed with an investigation, AD Lab helps you control everything from a central database, improving your efficiency and reducing the time it takes to get through a case.

    BENEFITS OF AD LAB

    In The News

    Read on for the latest and greatest about AccessData people, products, innovations and events.

    Information Risk Management Tips from Industry Experts

    Enterprise data is overwhelming, sprawling and chaotic. To help data stewards get a handle on how to manage data as

    Girls Learn About Online Safety and Digital Careers at GenCyber Camp

    AccessData had the privilege of teaching a series of hands-on labs to educate students about digital forensics at the 2017

    AccessData User Summit Spotlights Critical Role of Technology in Data Investigations and Increasing Crossover Between Forensics and E-Discovery

    The 2017 AccessData User Summit opening keynote address kicked off the week of activities with an intriguing question, “AI is

    New Data Protection Regulations in Asia Demand Compliance from Corporate Legal and IT Teams

    More than 60 percent of C-suite executives at Asia-based companies believe that compliance and adapting to new regulations is the





    Difference between Business Analytics and Business Intelligence – Business Analytics #difference #between

    #

    Main menu

    Post navigation

    Difference between Business Analytics and Business Intelligence

    Business analytics differs from business intelligence. Business owners must learn the distinctions between the two in order to effectively employ them for the success of their enterprise.

    Experts maintain that business analytics is basically one term for a bigger concept and is associated with the following complex functions:

    • Enterprise information
    • Enterprise performance management
    • Data warehousing
    • Analytic applications
    • Business intelligence
    • Business risks
    • Compliance
    • Governance

    Business Analytics vs. Business Intelligence

    Business intelligence is an umbrella term as well but it is a more focused concept. Enterprises that utilize tools, infrastructure, applications, and practices permit them to access and analyze data. This leads to improvements in optimization and performance. This means that they make use of business intelligence programs. The two are not really new concepts. Business analytics and intelligence have emerged as principal implements that guide decisions and strategies for disciplines like marketing, research and development, customer care, credit and inventory management. Both are progressing rapidly to meet business challenges and develop fresh opportunities.

    The two approaches are on the pointed end of a major change and the shift is geared towards providing bottomless insight into business information. Likewise, there is a mounting emphasis on superior tools and more advanced software in the possession of decision makers. Remember that going through and obtaining data calls for a strong infrastructure, effective data gathering implements, and sophisticated software for mining and business analytics. The emergence of these tools makes it possible for business planners to make out unseen trends, customer relationships, purchasing behavior, operational and monetary patterns, and business opportunities.

    These two are distinct but connected tools. Business intelligence provides a way of amassing data to find information primarily through asking questions, reporting, and online analytical processes. On the other hand, business analytics takes advantage of statistical and quantitative data for explanatory and predictive modeling. Analytics focuses on solutions-oriented capabilities which create value and convert information into knowledge. Both business intelligence and analytics are going forward briskly. Organizations are now turning to these vehicles to encompass bigger and assorted data sets. These consist of unstructured data like documents, e-mail, audio files, and video footages.

    The only issue is that the standard business intelligence tools are not very flexible and most databases have not been designed for fast change. Moreover, majority of conventional BI sellers continue to produce products that do not interface particularly well with alternative sources of data like social media. Many corporate entities opt for business intelligence programs to upgrade their decision-making abilities, reduce operational costs, and pinpoint fresh business prospects.

    It is more than just corporate reporting and a bunch of tools to wheedle the required data out of enterprise systems. This is being utilized to categorize inept business methodologies which are ripe for reconstruction. In fact, you can begin to analyze data using these tools instead of waiting for Internet technology to manage complicated reports. It may be true that business intelligence has a great potential, the implementation process can be affected by a lot of challenges especially technical and social aspects. However, business owners should make sure that data feeding these applications should be consistent and wholesome so users will trust the program.

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    Data Analysis & Graphs #data #analysis, #analyzing #data, #analyzing #results, #types #of

    #

    Data Analysis Graphs

    Key Info

    • Review your data. Try to look at the results of your experiment with a critical eye. Ask yourself these questions:
      • Is it complete, or did you forget something?
      • Do you need to collect more data?
      • Did you make any mistakes?
  • Calculate an average for the different trials of your experiment, if appropriate.
  • Make sure to clearly label all tables and graphs. And, include the units of measurement (volts, inches, grams, etc.).
  • Place your independent variable on the x-axis of your graph and the dependent variable on the y-axis .
  • Overview

    Take some time to carefully review all of the data you have collected from your experiment. Use charts and graphs to help you analyze the data and patterns. Did you get the results you had expected? What did you find out from your experiment?

    Really think about what you have discovered and use your data to help you explain why you think certain things happened.

    Calculations and Summarizing Data

    Often, you will need to perform calculations on your raw data in order to get the results from which you will generate a conclusion. A spreadsheet program such as Microsoft Excel may be a good way to perform such calculations, and then later the spreadsheet can be used to display the results. Be sure to label the rows and columns do not forget to include the units of measurement (grams, centimeters, liters, etc.).

    You should have performed multiple trials of your experiment. Think about the best way to summarize your data. Do you want to calculate the average for each group of trials, or summarize the results in some other way such as ratios, percentages, or error and significance for really advanced students? Or, is it better to display your data as individual data points?

    Do any calculations that are necessary for you to analyze and understand the data from your experiment.

    • Use calculations from known formulas that describe the relationships you are testing. (F = MA. V = IR or E = MC )
    • Pay careful attention because you may need to convert some of your units to do your calculation correctly. All of the units for a measurement should be of the same scale (keep L with L and mL with mL, do not mix L with mL!)

    Graphs

    Graphs are often an excellent way to display your results. In fact, most good science fair projects have at least one graph.

    For any type of graph:

    • Generally, you should place your independent variable on the x-axis of your graph and the dependent variable on the y-axis.
    • Be sure to label the axes of your graph don’t forget to include the units of measurement (grams, centimeters, liters, etc.).
    • If you have more than one set of data, show each series in a different color or symbol and include a legend with clear labels.

    Different types of graphs are appropriate for different experiments. These are just a few of the possible types of graphs:

    A bar graph might be appropriate for comparing different trials or different experimental groups. It also may be a good choice if your independent variable is not numerical. (In Microsoft Excel, generate bar graphs by choosing chart types “Column” or “Bar.”)

    A time-series plot can be used if your dependent variable is numerical and your independent variable is time. (In Microsoft Excel, the “line graph” chart type generates a time series. By default, Excel simply puts a count on the x-axis. To generate a time series plot with your choice of x-axis units, make a separate data column that contains those units next to your dependent variable. Then choose the “XY (scatter)” chart type, with a sub-type that draws a line.)

    An xy-line graph shows the relationship between your dependent and independent variables when both are numerical and the dependent variable is a function of the independent variable. (In Microsoft Excel, choose the “XY (scatter)” chart type, and then choose a sub-type that does draw a line.)

    A scatter plot might be the proper graph if you’re trying to show how two variables may be related to one another. (In Microsoft Excel, choose the “XY (scatter)” chart type, and then choose a sub-type that does not draw a line.)

    Sample

    Here is a sample Excel spreadsheet (also available as a pdf ) that contains data analysis and a graph.





    Hard Drive Data recovery Software #best #data #recovery, #best #file #recovery, #best

    #

    Hard Drive Data Recovery
    with Disk Drill for Windows

    Data loss costs businesses and individuals around the world billions each year in lost revenues. While hard drives are becoming more reliable with each passing year, they still leave a lot to be desired. Virtually all IT professionals preach the importance of backing up critical data but only a few know how to effectively deal with data loss. Those who do know recommend Disk Drill — a premier free hard drive data recovery software for Windows.

    Free version recovers up to 1GB

    Disk Drill for Windows is unique because it can undelete files from the emptied Recycle Bin by looking at the underlying file system. With the free version of Disk Drill for Windows, it’s possible to find all lost files and recover up to 1GB of data. In other words, you can download a professional application used by some of the world’s largest enterprises and use it to recover your lost documents and files without paying a single cent — a value like this is hard to come by.

    #1 Successfully recover files from hard drive

    Disk Drill is designed to work straight out of the box, requiring almost no user input. Still, there’s one crucial thing you can do to increase your chances of successful recovery: act quickly. Your hard drive is like a living, breathing organism. Just like cells in the human body constantly regenerate, so does the content of your hard drive changes. As you create files, download stuff from the internet, perform system maintenance, or watch online videos, your operating system is writing and rewriting huge quantities of data. When you delete something, you’re essentially telling your system that the deleted file may be overwritten. Once something else is stored in its place, even Disk Drill won’t help you get it back.

    When you find out that you’ve accidentally deleted a file, stop whatever you’re doing and download and install Disk Drill right away. If you act quickly, you are almost guaranteed to get your file back intact.

    1 Download Disk Drill

    3 Start Disk Drill for Windows

    #2 How to perform hard drive recovery

    To recover files from hard drive using Disk Drill for Windows, all you have to do is press the Recover button. Disk Drill requires as little user input as possible, and there’s no way how you could mess something up. Even though the software is self-explanatory, we’ve also prepared an extensive online knowledge base that covers all common data recovery scenarios, including how to recover data from hard drive or how to perform external hard drive data recovery.

    #3 Free hard drive recovery software

    One of the best things about Disk Drill for Windows is the fact that you can try it for free. Recover up to 1GB to test how it works and decide whether you need more. When you see just how useful it is to have the ability to install recover any deleted files, we’re convinced that you’ll want to keep Disk Drill installed on your system indefinitely.

    Disk Drill automatically scans your whole hard drive, looking for lost or deleted files. You can choose whether you would like Disk Drill to quickly scan the content of your hard drive or perform deep analysis of the underlying file system. With support for over 300 file formats and all popular storage devices, you can rest assured knowing that you will see your missing files again in no time.

    How to recover data
    from hard drive for free

    Disk Drill for Windows comes with a number of useful data recovery, protection, and management tools. These tools can help you better organize the content of your hard drive, monitor its health, and back up your most important files and folders. Even though they could be sold as stand-alone products, they are included with Disk Drill for free. One of them is the Recovery Vault, which is like a deposit box for files that you absolutely can’t afford to lose. Once a file is in the Recovery Vault, Disk Drill will proactively monitor its status and create backups.

    #4 Hard drive recovery – final steps

    Once Disk Drill finishes the data recovery process, it will present you with a list of files. Select anything you deem worthy of recovering and choose the destination folder for restored data. Confirm your selection, and that’s all! Your data are now recovered and ready to be used. As you can see, hard drive recovery with Disk Drill for Windows couldn’t be simpler.

    Disk Drill for Windows supports all external hard drives and USB flash drives. Once you connect an external storage device to your Windows computer, you will be able to recover files from it using Disk Drill.





    Free External Hard Drive Data Recovery – Free download and software reviews

    #

    Free External Hard Drive Data Recovery

    Publisher’s Description

    Simple to use Free External Hard Drive Data Recovery software which allows you to quickly restore any type of files that you lost from the external hard drive Like WD, Seagate, Toshiba, Transcend, omega, Buffalo due to accidental deletion or to system crash, formatting, virus attack.

    It can recover various files from external storage devices quickly, safely and completely. It fully supports many external hard drive brands: Western Digital. Seagate, Toshiba, Hitachi, Samsung, Transcend, SanDisk, Sony, Kingston, Dell, Lenovo, Quantum, Apple, Iomega, Maxtor, Fujitsu, ADATA, Strontium, EMC, LaCie, Buffalo.

    What’s new in this version:

    Version 8.8.8.9 may include unspecified updates, enhancements, or bug fixes.

    screenshots

    0 stars Be the first to review this product

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    Complete Recovery from External Hard Drive

    2016-04-02 23:31:47 | By darnellcornelius

    | Version: Free External Hard Drive Data Recovery 8.8.8.8

    The most powerful file recovery ability for recovering data from damaged or formatted external hard drive or the hard drive is inaccessible for unknown reason. You can use recover data from the partition or external storage devices like memory stick, memory card and flash drive, of whatever happened to cause the data loss.

    Excellent External Hard Drive Data Recovery App.

    Leading Data Recovery software for External Hard Drive.

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    How to Create a Big Data Implementation Road Map #big #data #implementation

    #

    How to Create a Big Data Implementation Road Map

    Big data implementation plans, or road maps, will be different depending on your business goals, the maturity of your data management environment, and the amount of risk your organization can absorb. So, begin your planning by taking into account all the issues that will allow you to determine an implementation road map.

    Business urgency and big data

    Many ambitious organizations always seem to need the latest and greatest technologies immediately. In some situations, an organization can demonstrate that the availability of important big data sources can lead to new strategies. In these cases, it makes sense to create a strategy and plan. It is a mistake to assume that big data adoption and implementation are a defined project.

    The adoption of big data has broad implications for the company s overall data management strategy. So, independent of some of the other factors involved, the time required to design your big data solutions should be clearly noted on any road map. In addition, the design tasks should never be glossed over or eliminated.

    Select the right big data software development methodology

    Most companies and organizations have IT teams that follow prescribed development processes and practices. Some of these development methodologies are well suited to big data implementations, while others, sadly, are not.

    Big data projects are best suited for an agile and interactive development process. Iterative methodologies use short time cycles with rapid results and constant user involvement to incrementally deliver a business solution. Therefore, it is not surprising that an iterative process is the most effective development methodology for big data implementations.

    Balance big data budgets and skill sets

    It is always difficult to anticipate the budgetary requirements for a new type of project like big data. The best practice is to clearly understand the expected costs and downstream benefits of your big data implementation and then secure an appropriate budget.

    Getting the right skill sets for any project is another challenge. Often the most sought-after individuals are stretched thin across several initiatives. So staff augmentation is often the answer, albeit not an easy one.

    Over time, you will find more training and more qualified professionals. In the meantime, the best practice is to identify and acquire some data science skills for design and planning, Hadoop and NoSQL skills for implementation, and parallel/cluster computing skills for operations.

    Determine your appetite for risk with big data

    Every organization has a culture that will determine how much risk management it is willing to assume. If you are in a highly competitive market, you may need to take more risks on potential market innovation. However, even companies in highly competitive markets may be cautious. You have to understand the dynamics of your organization before you embark on a big data project.

    All organizations, even those with an appetite for high risk, must be wary as they adopt big data. The development and acculturation of any new technology or solution can be fraught with failures. Using agile methodologies to help to explicate fast successes and fast failures is the best practice for setting proper expectations in a trailblazing organization.

    Your big data road map

    You should think of these as starting points for how you can get the ball rolling with big data and make changes as necessary for your business.

    If your organization has experience with business intelligence applications and analytics, has relatively mature data management practices, and has established a high-capacity infrastructure and operations, the task of adopting big data is a bit easier. This does not imply guaranteed success or reduced risk.

    Getting started is always easier if some of the people involved have done it before. Here are a few tips to consider as you contemplate bringing big data into your company or organization:

    Get some help. Don t be adverse to hiring an expert or two as consultants. Be sure that they know their stuff and ensure that they are capable of mentoring people in your organization.

    Get training. Take classes, buy and read books, do research on the Internet, ask questions, and attend a conference or two.

    Experiment. Plan to fail. Fast failure is becoming de rigueur for contemporary technology-driven organizations. The best lessons learned often come from failures.

    Set proper expectations. In the business world, properly set expectations can mean the difference between success and failure. Big data offers huge potential to your business only if you accurately represent the value, costs, and time to implement.

    Be holistic. Try to look at all the dimensions. If the project is delivered on time and on budget, but the end users weren t trained or ready to use it, the project may fall into failure.





    Satellite AIS Vessel Tracking #ais #data #center

    #

    Satellite AIS: Unmatched Global Coverage

    AIS Ship Tracking for Improved Navigation and Maritime Safety

    Satellite AIS (Automatic Identification System) is a vessel identification system that is used for collision avoidance, identification and location information. AIS ship tracking is also used for maritime domain awareness, search and rescue, environmental monitoring and maritime intelligence applications.

    Satellite AIS (S-AIS) tracks the location of vessels in the most remote areas of the world, especially over open oceans and beyond the reach of terrestrial-based AIS monitoring systems.

    Satellite AIS from the Leading Provider

    ORBCOMM’s unique satellite AIS data service overcomes the limitations of terrestrial-based systems by cost-effectively tracking vessels well beyond coastal regions, often in near real-time. We were the first commercial satellite network with AIS data services and are now tracking over 150,000 vessels daily for over 100 customers in a variety of government and commercial organizations.

    By partnering with some of the most trusted maritime information providers in the world, in addition to its own satellite monitoring capability, ORBCOMM offers the most complete situational picture of global vessel activity available today.

    ORBCOMM OG2: A Game Changer for Satellite AIS

    The launch of ORBCOMM’s next generation, AIS-equipped OG2 satellites opens up even greater possibilities for AIS ship tracking, namely:

    Lower Latency
    With the launch of 16 next generation OG2 satellites and ORBCOMM’s existing network of 16 ground stations, AIS data latency for some areas is expected to be as low as one minute for detected vessels, enabling advanced alerting and reporting features.

    Increased Detection Rate
    ORBCOMM’s OG2 satellites pass over vessels more frequently and for longer periods of time, increasing the probability of detecting an AIS signal.

    Cost-Effective
    Since AIS is just one of the services offered by the ORBCOMM satellite constellation, we are able to offer more flexibility in our plans and services compared to other satellite AIS providers.

    Discover the facts for deciding which Satellite Automatic Identification System (AIS) ship tracking system to use for identifying and locating vessels.

    INTRODUCING HALI

    Hali combines terrestrial/satellite AIS and satellite M2M technology into one affordable and reliable Class B AIS device for vessel location, maritime safety and environmental compliance.





    Free Data Modeling Tool Business Process Design Software #free #data #modeling #tool,

    #

    Open ModelSphere –
    Free Software Tool for Conceptual and Relational Data Modeling,
    Business Process Modeling and UML Modeling

    Open ModelSphere is a powerful free data, process and UML modeling tool / software. Open ModelSphere covers conceptual and logical data modeling as well as physical design, i.e. database modeling (database modelling). It supports several notations, e.g. Entity-Relationship, DATARUN and Information Engineering. Conceptual models can be converted to relational models and vice versa.

    Thanks to its reverse engineering capabilities, Open ModelSphere allows graphical visualization of your relational database’s architecture, thus making modifications easy. As a complete data modeling tool / software, it allows the generation of SQL scripts from your model as well. Open ModelSphere supports all the database management systems in a generic manner. A standard built-in interface connects to SQL databases via ODBC/JDBC driver.

    Open ModelSphere also includes expert modules to validate the integrity of your architecture and the coherence of what you established (meeting the requirements of each DBMS). This validation expertise will help you save research time among the multitude of restrictions that exists in each management system.

    Open ModelSphere also helps systems analysts to integrate the creation of data flow and business process diagrams and to elaborate an enterprise’s workflow and logistics. You can specify resources, transactions, communicational exchanges, cost calculated in time, money and effort, etc. Open ModelSphere is not restricted to business process modeling, but also allows you to set up the technical design at the application system level.

    Open ModelSphere supports you to schematize the various processes’ details in a hierarchical manner, thus enabling you to decompose a process in subprocesses. This way, it is easy to keep an overview, while having access to a very detailed view of the processes. When setting the data flow diagram, it becomes easier to design a relational database that meets the company’s needs, hence avoiding loss of time and money.

    Last, but not least – Open ModelSphere provides the functionality of a rich UML modeling tool / software. You can create Activity, Class, Collaboration, Component, Deployment, Package, Sequence, Statechart and Use Case diagrams.

    With respect to the coexistence of relational and object-oriented approaches, class models can be linked to data models. Moreover, class models can be generated from data models and vice versa.





    Disk Image software #disk #image #software, #disk #image, #data #backup, #freeware, #disk

    #

    Disk Image Software

    January 8 2014, Richard Pardoe,
    technology blogger

    Imagine the situation: you’ve just created an image of a really valuable disk. Maybe it’s an image of favourite DVD that you’re taking on holiday, or perhaps it’s a backup of a solid state hard drive containing critical business data.

    October 9 2013, Richard Pardoe,
    technology blogger

    Data is a precious commodity, and a significant data loss can cause havoc in your personal life, career or business.

    In today’s digital age, we’re all well aware of the importance of backups. But how many of us are really doing them regularly? If the computer you were reading this on suddenly died, would all your crucial data be safely stowed away somewhere else and easily recoverable?

    Keep Your Data Safe Using Disk Image Software

    August 27 2013, James Ford
    a computer specialist for a medium-sized company

    Disk image software provides the ultimate solution to data backup since it allows you to make a complete, byte-by-byte copy of an entire disk without the risk of missing anything important.

    An error appears indicating the CreateSnapshotSet() failed. What should I do?

    August 8 2012, RobinZon
    a data backup software reviewer

    If you, like me, find yourself in a constant struggle, trying to keep your computer under control in terms of starting up and keeping your data safe; you should try Disk Image, a program I recently started using. In short, the name describes what it does.

    This software helps create a disk image of your computer, which is basically like a backup of your entire machine (you can choose to save less if you want). What’s awesome about this software though is that it comes with more than just the tools to do that. It also comes with a powerful feature called “Boot Disk”. But I’ll talk about that later on in this… review, I guess?

    “A great way to restore computers from unstable states”

    August 2 2012, Michael Findley
    a small business owner in the GTA

    Read more: Disk Image Users Guide . Sales Questions





    Storage 101: Secure, Accessible Options at Home and in the Cloud #remote

    #

    Storage 101: Secure, Accessible Options at Home and in the Cloud

    No matter what you do for business or pleasure, choosing the right digital storage is essential. Hard drives are the unsung heroes in our increasingly exciting digital lives. They’re the key to saving, protecting, and accessing the data that drives your world. Whether you’re an avid photographer, an accountant, a music lover, a graphic designer, a traveling executive, or all of the above, you need a well-selected suite of smart storage solutions to keep your files safe from loss or destruction, secure from prying eyes, and available right when and where you want them.

    We need some files stored directly on our PCs, some backed up to protect important data, and others to be accessible everywhere we go. To accomplish this, most of us are at our best with a combination of local and network-based drives that work together across multiple devices.

    Local storage refers to drives inside or attached to your PC. These can be internal disks installed at the factory, external drives that sit on your desk, or small drives that fit easily in a bag or pocket.

    Network Storage is a type of drive that you access over your network, or via the Internet. These can be physical boxes located inside your home or office, or they could be remote drives that you access via an online service. When storage is hosted on a remote service that you access via the Internet, it’s referred to as “cloud storage,” or “the cloud.”

    As cloud storage has grown in popularity, a hybrid approach has emerged, combining the security benefits of having your data in your home with the convenience of the cloud. Network-attached drives such as the WD My Cloud can save everything from all your PCs right on your own network, giving you a central point of control for all your data. They also connect to other cloud services, like Dropbox, giving you access to your files from any device, anywhere.

    A Closer Look at Local Storage

    Any drive connected directly to your computer – be it inside or outside the case – is known as local storage, as opposed to remote storage, which you access via a network connection.

    Internal drives. as the name implies, live inside your computer. They typically consist of either a spinning hard drive or solid-state flash storage. In most cases, internal drives are installed at the factory. If you need more storage or faster performance, you can upgrade your internal drive – a task that’s generally not too difficult for tech-savvy folks to do at home.

    Direct-attached storage (DAS) refers to drives that plug right into your computer’s external ports, usually via USB. These can be large, high capacity drives for holding large amounts of data; or slim, portable drives that fit into your pocket. Simple desktop drives like these are a great choice for people who only need to store and access data from one computer. Just plug an external hard drive it through your USB port, set up your backup software to do its thing, and then forget about it unless you eventually need to restore data.

    For mobile workers who need to keep specific files handy even when Internet access isn’t available, portable drives like the WD My Passport can securely carry all your most important files in a compact package that won’t weigh you down. (Be sure to use the drive’s built-in encryption features to protect your data from prying eyes.)

    Connecting the Dots with Network Storage

    Over the past few years, network storage options have really blossomed.

    Network-attached storage (NAS) is a type of drive that connects to your home or office network, enabling multiple PCs and other devices to connect as needed. They usually look just like regular desktop drives, but instead of plugging them directly into your computer, you attach them to your network router so all your devices can access them.

    The advent of affordable home and small-business NAS drives has made it easier than ever to share files between multiple computers, tablets, and smartphones connected to your network. They can even share files with connected TVs and media players. Larger NAS drives are an excellent choice for backing up data from all your devices, because they keep your backups in a central location.

    Cloud storage. sometimes simply called “the cloud,” is Internet-based storage, usually offered as a subscription service. Unlike NAS storage, which is designed for accessing data within a stationary home or office network, cloud storage is well suited to mobile users who need to reach their data from multiple devices, such as phones and tablets, even while traveling.

    There are two basic types of cloud storage options: public and private. Notable examples of public cloud services include Dropbox and Google Drive. Private cloud options, such as WD’s My Cloud, host all your data on your own physical hard disk, connected to your home or office network, while giving you the same freedom of remote access that you can expect from public cloud services.

    While some low-capacity public cloud options are available for free, you can expect to pay upwards of $10 per month for 100GB of public cloud storage, which can make it significantly more expensive than NAS options over time. Also, because public cloud offerings are hosted entirely on the web, many users worry about the security of these services. A private cloud option is ideal for security-conscious users.

    Personal cloud is an emerging category of storage devices that offers a hybrid approach between NAS and the cloud. A personal cloud system securely stores files on a physical NAS drive in your house while simultaneously allowing secure remote access over the Internet. Best-of-both-worlds devices like the WD My Cloud give you centralized control over all your data, so you can share files between PCs, Macs, tablets, and smartphones on your home or office network, and from the road. They’re the ultimate storage option for backups, photos, videos, business documents, and everything else that matters in your digital life.

    This story, “Storage 101: Secure, Accessible Options at Home and in the Cloud” was originally published by BrandPost .

    WD My Cloud





    SAP s HANA will lose the big data war without open source,

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    SAP’s HANA will lose the big data war without open source, as proven by 21 new security flaws

    SAP has been boasting about its “revolutionary” big data platform, SAP HANA, for years. While its claims have always been a bit suspect, recent revelations that HANA is riddled with critical security flaws only reinforce the mantra that, when it comes to big data infrastructure, open source is best.

    Most other companies get this, even hitherto proprietary giants like IBM. Will SAP get the memo in time to rejigger its approach to big data?

    Probably not, which is why SAP customers should probably check out what open source has to offer.

    (Almost) everything has open source inside

    Even the most proprietary software generally has open source inside. That’s why Gartner analyst Martin Kihn can declare with utmost assurance that everything—everything—is open source now, to some degree:

    I am willing to guess you—yes, you—would be shocked if you really understood to what extent that whizzy piece of expensive cloud software you’re using actually (deep, deep in its soul) was running on absolutely free, not-developed-here, open source technology that you—yes, you—could probably bang into something almost as useful if you only knew how to do it.

    It’s also why you really, really shouldn’t be futzing with SAP HANA, or any other proprietary data infrastructure that tries to go it alone without the aid of the open source community. Cloudera chief strategy officer Mike Olson perhaps said it best :

    There’s been a stunning and irreversible trend in enterprise infrastructure. No dominant platform-level software infrastructure has emerged in the last 10 years in closed-source, proprietary form.

    Which brings us to. HANA.

    Big data, big problems

    HANA, SAP’s big data darling, has been the subject of controversy for some time. For years Wall Street analysts like Peter Goldmacher (formerly of Cowen Co.) have criticized SAP’s financial treatment of HANA, arguing that the legacy software vendor had been misrepresenting HANA revenue to project an “inflated growth rate.”

    In short, he and others argued HANA’s zero-to-$1 billion rapid growth story was “highly, highly unlikely.”

    But wait! It gets worse.

    That’s because security firm Onapsis just uncovered 21 significant security flaws in HANA, eight of which it deemed “critical.”

    How critical? Unless companies act to change system configurations, “Unauthenticated attackers could take full control of vulnerable SAP HANA systems, including stealing, deleting or changing business information, as well as taking the platform offline to disrupt key business processes.”

    Not a cheery thought.

    And, it’s why Host Analytics (and data infrastructure expert) Dave Kellogg advises HANA customers to switch to “standard infrastructure,” in part because it’s “more proven.”

    Peaceful coexistence. for now

    Like, for example, Apache Spark.

    Of course, Spark-sponsor Databricks will be quick to say that SAP HANA and Spark are complementary, that the one is great for analyzing legacy enterprise data stuck in a CRM or ERP system while the latter handles. pretty much everything else.

    This is true, but maybe not relevant. At least, not for long.

    After all, as Kamlesh Barvalia, business intelligence and analytics Leader at GE, argued. there is “a great deal of overlap” between the two in terms of features and use cases, and many (like he) will “bet on Spark for the long haul.”

    Why? Because Spark is open source (so “you do not run the risk of getting yourself trapped in proprietary development platforms” like HANA), cheaper, and “There is a great deal of momentum behind Spark and it appears that the feature overlap as well as breadth and depth of offering will only increase as the time goes by.”

    Stated in pithier fashion, “What Dave Kellogg said.”

    Spark isn’t the only open source challenge to HANA’s alleged momentum (barely ahead of Informix in terms of overall popularity ). Given the pace at which the open source community keeps leapfrogging itself with better and better data infrastructure, hatched and released by companies like Google, Facebook, and LinkedIn, who manage scale and speed that even SAP can hardly fathom, this is the open source community’s market to lose.

    But it won’t, for all the reasons Mike Olson called out in his post. Ultimately, all data infrastructure will be open, or it will be irrelevant.

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    5 Big Data Technology Predictions for 2015 #what #is #big #data #technology

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    5 Big Data Technology Predictions for 2015

    In just a few short years, big data technologies have gone from the realm of hype to one of the core disruptors of the new digital age. 2014 saw big data initiatives inside the enterprise increasingly move from test to production. In 2015, big data will push further into the enterprise with even more use cases — specifically real-time use cases — says John Schroeder, CEO and co-founder of Hadoop distribution specialist MapR .

    “This is the year that organizations move big data deployments beyond initial batch implementations and into real time,” Schroeder says. “This will be driven by the realization of the huge strides that existing industry leaders and soon-to-be new leaders have already made by incorporating new big data platforms into their analytics with “in-flight” data to impact business as it happens.”

    Schroeder says five major developments will dominate 2015.

    1. Data Agility Emerges as a Top Focus

    Data agility has been one of the big drivers behind the development of big data technologies, as the processes around legacy databases and data warehouses have proven too slow and inflexible for many business needs. In 2015, Schroeder says data agility will become even more central as organization shift their focus from simply capturing and managing data to actively using it.

    “Legacy databases and date warehouses are so expensive that DBA resources are required to flatten summarize and fully structure the data,” he says. “Upfront DBA costs delay access to new data sources and the rigid structure is very difficult to alter over time. The net result is that legacy databases are not agile enough to meet the needs of most organizations today.”

    “Initial big data projects focused on the storage of target data sources,” he adds. “Rather than focus on how much data is being managed, organizations will move their focus to measuring data agility. How does the ability to process and analyze data impact operations? How quickly can they adjust and respond to changes in customer preferences, market conditions, competitive actions and the status of operations? These questions will direct the investment and scope of big data projects in 2015.”





    18 big data certifications that will pay off #big #data #graduate #programs

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    18 big data certifications that will pay off

    18 big data certifications that will pay off

    Data and big data analytics are becoming the life’s blood of business. Data scientists and analysts with expertise in the techniques required to analyze big data and engineers and developers who know their way around Hadoop clusters and other technologies, are hard to come by. If you’re looking for a way to get an edge — whether you’re job hunting, angling for a promotion or just want tangible, third-party proof of your skills – big data certification is a great option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The number of big data certs is expanding at a rapidly. Here are 16 you should consider.

    Updated on April 20, 2017.

    Certified Analytics Professional — INFORMS

    What it’s all about: The CAP certification is a rigorous general analytics certification. It certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment and model lifecycle management. It requires completion of the CAP exam (available at more than 700 Kryterion computer-based testing centers in more than 100 countries) and adherence to the CAP Code of Ethics.

    How to prepare: INFORMS provides preview material and a Complete CAP Study Guide as an aid. It also provides free half-day CAP refresher sessions for organizations with 10 or more candidates.

    Certification of Professional Achievement in Data Sciences — Columbia University

    What it’s all about: This data science certification is offered jointly through TheFU Foundation School of Engineering and Applied Science and The Graduate School of Arts and Sciences at Columbia University. The program consists of four courses: Algorithms for Data Science (CS/IEOR), Probability Statistics (STATS), Machine Learning for Data Science (CS) and Exploratory Data Analysis and Visualization (STATS).

    Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE) — INSOFE

    What it’s all about: This intensive 18-week program consists of 10 courses (lectures and labs) for students of all aspects of analytics, including working with big data using Hadoop. It focuses on R and Hadoop skills, as well as statistical modeling, data analytics, machine learning, text mining and optimization. Students are evaluated on a real-world capstone project and a series of quizzes.





    RAID Data Recovery from failed server arrays, SAN and NAS by ACE

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    RAID Data Recovery Services

    Our dedicated team of RAID data recovery engineers is trained to handle all of the current RAID hardware platforms as well as SAN and NAS appliances commonly utilized in the market today.

    Complex fault-tolerant systems can also suffer from a crash. Often, failure to correctly implement these systems leads to point of malfunction and can cause data loss. This is human error and not shortcomings of the technology used or the design of the array.

    Even the best-configured RAID system can fail due to:

    • RAID Controller failure
    • Multiple drive failure
    • Accidental replacement of media components
    • Accidental reformatting of drives or whole RAID array
    • Array configuration lost
    • Intermittent drive failure resulting in RAID degradation

    Free external hard drive or usb flash with each completed recovery

    Professional RAID Array Data Recovery

    ACE Data Recovery has extensive experience in recovery from failed RAID ‘s, including parity-distributed and basic spanned or striped volumes. We only require the active members of the array in order to recover lost data – no controllers, cables or enclosures. If you are asked for the original RAID controller or array system by a data recovery company, be careful – you may be risking recoverable data to an inexperienced firm!

    RAID Levels with different architectures have a lot of similarity, but each type also has its own “favorite” failures and different techniques to handle too:

    • RAID 0 Data Recovery
    • RAID 1 Data Recovery
    • RAID 10 Data Recovery
    • RAID 5 (50) Data Recovery
    • RAID 6 (60) Data Recovery

    RAID Data Recovery – Our High Priority

    Every single RAID data recovery case which arrives at our labs receives high priority importance because we know and understand them to be a top priority for most organizations. Our disk recovery process, coupled with our ability to produce a safe sector-to sector dump of the complete volume, allows us to process an array as a collection of image files. RAID recovery of crashed members of the array is similar to hard drive recovery procedures.

    We are expert in all Disk Based Hardware and Software RAID Array Configurations :

    You can compare different RAID level advantage at RAID Level Comparison table.

    Deep experience in data recovery

    I recently had a Seagate NAS drive that was rendered inaccessible. Best Buy recommended I take it to ACE Data Recovery. ACE ended up having to rebuild the entire drive to access the data. I am extremely pleased with the results now that I can access all my data. ACE was able to lift all the half-terrabyte of data and copy to a new external hard drive. These guys also do a free diagnostic. However be prepared that data recovery is an expensive proposition. But I highly recommend a local service like ACE.

    All further procedures to recover data from array members are done on the raw images, leaving original drives intact. Our advanced software tools will extract the data from the images. When a drive image is not available, the tools can reconstruct the data ‘on-the-fly’ in the same way that the RAID rebuild process would have done on the original system.

    After determining what steps will be necessary to complete your RAID data recovery. we will contact you for approval. No work will be done without your approval. As soon as you approve the quotation, our engineers will continue with the recovery process.

    Our RAID data recovery process meets manufacturer’s requirements.

    We recover data from any hard drive RAID arrays made by but not limited to the following manufacturers:





    Hard Drive Data (HDD) Recovery #hardrive #data #recovery

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    Hard Drive Recovery for any type, model or brand

    Trusted Hard Drive (HDD) Data Recovery

    Hard disk drives (HDD) store all of our critical business and personal files, from account records and contracts to digital photos of loved ones. Although the content on the failed hard disk drive(s) may differ greatly, the sense of shock and despair can be frighteningly similar. Fortunately Kroll Ontrack has been pioneering HDD data recovery methods for more than 30 years.

    Hard drive recovery tip:

    To ensure the most successful hard drive recovery, turn off your computer or storage device to minimise further damage.

    Call 1800 872 259
    if critical data is at risk.

    We recover data from all types of data storage

    Kroll Ontrack can recover files from any brand, model or make of hard drive. Our Ontrack HDD Data Recovery services are recognised by major hard drive manufacturers and we are authorised by Western Digital, Fujitsu, Hitachi, Samsung and Toshiba to unseal hard disk drives for recovery without voiding the manufacturer s warranty.

    We recover data from all types of data loss

    Our engineers classify hard drive data loss in two categories:

    Logical Failure: The hard drive is in working order but some files or data cannot be accessed for reasons such as a lost partition, accidental reformatting, viruses, corrupt files, damaged files or accidental deletion of files.

    Mechanical Failure: The hard drive is not functioning; the device is not turning on or it is not being read correctly. The most common causes are head crashes and motor failures. These failures are often characterised by strange grinding, scratching or clicking noises coming from the device.

    Tips For Hard Drive Data Loss – Water Damaged Hard Drives

    If your hard drive experiences water damage, DO NOT TRY TO DRY IT OUT. Drying the hard drive can lead to corrosion and further data loss. Place the hard drive in an air tight zip lock bag and post it as soon as possible to a Kroll Ontrack office for hard drive data recovery services.

    Tips For Hard Drive Data Loss – Hard Drives That Are Making Noises

    If your hard drive is making strange clicking or grinding noises turn it off immediately. This noise might be an indication that your drive has experienced a head crash and is not reading the data correctly and can result in permanent unrecoverable damage to your files.

    If your hard drive is making strange noises, call 1800 872 259 to prevent damage.

    Tips For Hard Drive Data Loss – Missing, Reformatted Or Accidentally Deleted Files

    If you have accidentally deleted files and you need to recover them then you may want to try our DIY data recovery software; you can download a free trial of the software that will tell you if your files are recoverable. If the files are recoverable, you may simply purchase the full license of the software to download the data.

    Call us 1800 872 259

    Call us today for more information on Hard Drive Recovery or a free consultation

    We are trusted by hundreds of Australian organisations to recover encrypted data.

    Your data is encrypted for a reason. Trust Kroll Ontrack to keep your data secure and private while it’s being recovered.

    Security Protocols

    Kroll Ontrack engineers use strict data security protocols to ensure data privacy through all stages of the data recovery process in our Australian facilities. Your data is secure from the time we receive to the time we return it to you. Kroll Ontrack can encrypt your recovered data before its return.

    Kroll Ontrack requires that end users or administrators provide their encryption information (user key, password or pass-phrase) in order to recover encrypted data. Please be prepared to provide this information to your data recovery specialist in order to save time on our recovery.

    Recovering Data From An Encrypted Hard Drive

    Recovering from hard disk drives that are encrypted follows the same handling procedures as all other media. The process is outlined in the following high-level steps:

    1. Hard drive operation assessment
    2. Cleanroom escalation (as necessary when physical or electronics damage is present)
    3. Image drive data
    4. Secure original media
    5. Decryption process
    6. Create Ontrack Verifile list of recoverable data and send to the customer for approval
    7. Repair file system
    8. Prepare data for delivery
    9. Encryption of data for delivery

    Ontrack Data Recovery Revolutionised The Decryption Process

    Our new “decryption-on-the-fly” process drastically reduces the time it takes to decrypt a drive and produces better results. This proprietary process scans only the portions of the drive which contain data. We can image more data in a shorter amount of time than the traditional process which significantly reduces your downtime.

    Kroll Ontrack requires a user key, password, pass-phrase, or encryption software key file in order to decrypt the data. Some companies may also utilize a challenge/response methodology for providing the decryption credentials for their environment. Kroll Ontrack engineers will work with the provider of those credentials once we receive your media for recovery.

    Check Your Organisation’s Security Policy

    If providing any login credentials is against an organisation’s security policy, there are a few other options for data recovery. Kroll Ontrack is able recover the data through our standard process in its encrypted form on a new piece of media. The data will remain encrypted until you receive it back and it is opened by someone with a key. Since Kroll Ontrack is unable to produce a report of recoverable files, the customer will not know if we succeeded in recovering the critical data until they decrypt it.

    Call us 1800 872 259

    Call us today for more information or a free consultation





    Lync Server 2013: Enabling or disabling the purging of archived data #archiving

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    Enabling or disabling the purging of archived data in Lync Server 2013

    In Lync Server 2013 Control Panel, you use Archiving configurations to enable and disable purging and configure how purging is implemented. This includes the following Archiving configurations:

    A global configuration that is created by default when you deploy Lync Server 2013.

    Optional site-level and pool-level configurations that you can create and use to specify how archiving is implemented for specific sites or pools.

    You initially set up Archiving configurations when you deploy Archiving, but you can change, add, and delete configurations after deployment. For details about how Archiving configurations are implemented, including which options you can specify and the hierarchy of Archiving configurations, see How Archiving works in Lync Server 2013 in the Planning documentation, Deployment documentation, or Operations documentation.

    To use archiving for users who are homed on Lync Server 2013 you must configure Archiving policies to specify whether to enable archiving for internal communications, for external communications, or for both. By default, archiving is not enabled for either internal or external communications. Prior to enabling Archiving in any policies, you should specify the appropriate Archiving configurations for your deployment and, optionally, for specific sites and pools, as described in this section. For details about enabling Archiving, see Configuring and assigning Archiving policies in Lync Server 2013 in the Deployment documentation.
    If you decide after you deploy Archiving that you want to use Microsoft Exchange integration to store archiving data and files on Exchange 2013 servers and all your users are homed on your Exchange 2013 servers, you should remove the SQL Server database configuration from your topology. You must use Topology Builder to do this. For details, see Changing Archiving database options in Lync Server 2013 in the Operations documentation.

    From a user account that is assigned to the CsArchivingAdministrator or CsAdministrator role, log on to any computer in your internal deployment.

    Open a browser window, and then enter the Admin URL to open the Lync Server Control Panel. For details about the different methods you can use to start Lync Server Control Panel, see Open Lync Server 2013 administrative tools .

    In the left navigation bar, click Monitoring and Archiving. and then click Archiving Configuration .

    Click the name of the appropriate global, site, or pool configuration in the list of archiving configurations, click Edit. click Show details. and then do the following:

    To enable purging, select the Enable purging of archiving data check box and then do one of the following:

    To purge all records, click the Purge exported archiving data and stored archiving data after maximum duration (days). and then specify the number of days.

    To purge only the data that has been exported, click Purge exported archiving data only .

    To disable purging, clear the Enable purging of archiving data check box.





    What is Real Time? Webopedia Definition #operating #systems, #input, #real #time, #objects,

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    real time

    Related Terms

    Occurring immediately. The term is used to describe a number of different computer features. For example, real-time operating systems are systems that respond to input immediately. They are used for such tasks as navigation, in which the computer must react to a steady flow of new information without interruption. Most general-purpose operating systems are not real-time because they can take a few seconds, or even minutes, to react.

    Real time can also refer to events simulated by a computer at the same speed that they would occur in real life. In graphics animation. for example, a real-time program would display objects moving across the screen at the same speed that they would actually move.

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    What is virtual storage area network (VSAN)? Definition from #virtual #data #storage

    #

    virtual storage area network (VSAN)

    A virtual storage area network (VSAN) is a logical partition in a storage area network (SAN ). VSANs allow traffic to be isolated within specific portions of a storage area network.

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    The use of multiple VSANs can make a system easier to configure and scale out. Subscribers can be added or relocated without the need for changing the physical layout. If a problem occurs in one VSAN, that problem can be handled with a minimum of disruption to the rest of the network. Because the independence of VSANs minimizes the total system’s vulnerability, security is improved. VSANs also offer the possibility of data redundancy, minimizing the risk of catastrophic data loss.

    The term is most often associated with Cisco Systems and is often mentioned in conjunction with the zoning. Zoning splits a SAN into multiple, isolated subnetworks. The concept behind a VSAN is often compared to that of a virtual local area network (VLAN ). VLANs segregate broadcasts from other networks

    This was last updated in May 2011

    Next Steps

    Before purchasing a SAN system for your organization, read about the basics of storage platform architectures and read our expert advice to help you decide which SAN features your organization needs.

    Continue Reading About virtual storage area network (VSAN)

    Related Terms

    data center bridging (DCB) DCB is a suite of IEEE standards designed to enable lossless transport over Ethernet and a converged network for all data center. See complete definition partition Partitioning a hard disk drive is the first step in preparing it for data storage. A disk partition is a carved out logical space. See complete definition RAID (redundant array of independent disks) RAID (redundant array of independent disks) is a way of storing the same data in different places on multiple hard disks to. See complete definition

    Dig Deeper on SAN management





    BYOD Security Software #enterprise #mobile #security, #byod, #iot, #enterprise #moblility #management, #emm,

    #

    BYOD Security Software

    BYOD promises unprecedented new streams of workforce productivity in the present age of cloud computing and Consumerization of IT. The increasingly mobile workforce in today’s enterprise needs to take advantage of the latest mobile technologies that redefine how employees collaborate, interact, learn and perform. By eliminating the cost of purchasing latest mobile gadgets and allowing employees to use devices of their choice, organizations can ensure a satisfied mobile workforce using the technology that works best to deliver superior productivity.

    This flexibility comes at a cost for organizations that fail to enforce adequate BYOD management and security policies, and ultimately risk cyber-attacks. Innovative new mobile device management solutions empower organizations with the capabilities they need to unleash the power of enterprise mobility while addressing the rising BYOD security and management challenges.

    The Codeproof enterprise mobility platform works as a centralized SaaS console offering a range of mobility management features, including:

    MDM Enrollment

    This is the first step of MDM enablement in BYOD devices using either Agent-based or Agent-less profile installation. Once the device is configured with MDM, IT Administrators can remotely control corporate data and network access in enrolled devices.

    Owners Privacy

    In the Codeproof console, IT Administrators can categorize BYOD devices and enforce different sets of corporate policies on different device groups. When a BYOD device is lost or stolen, IT Administrators can wipe selective data such as WiFi configurations, emails, business apps and other information critical to the organization’s security.

    Configuring WiFi, Email and VPN

    Before BYOD users can access corporate resources, make sure that their device is authorized to access the corporate network through WiFi, Email or VPN access points. IT administrators can remotely push corporate WiFi access privileges to devices and change VPN and Email configurations.

    Terminating Corporate Data Access

    When BYOD users terminate their jobs, IT administrators can remotely delete their business emails and WiFi profile configurations, and uninstall the apps deployed using the MDM platform. Wiping the entire device data is not required and the device will still retain the user’s personal data, apps, contacts, photos and other information.

    The enterprise mobility management is now simplified!

    The comprehensive SaaS enterprise mobility management solution is offered on an affordable, no-obligation subscription-basis pricing model.