Showing posts with label ITNews-Internet. Show all posts
Showing posts with label ITNews-Internet. Show all posts

Microsoft certifies new PCs with Windows 7 to ease enterprises onto Windows 10

5:42 PM

Microsoft certifies new PCs with Windows 7 to ease enterprises onto Windows 10

Credit: Toshiba

The special category of PC will run Windows 7 or Windows 8.1 on top of modern hardware.

WhatThingNews : Businesses are rushing toward Windows 10 as fast as they can, but they simply need more time. To accommodate them, Microsoft is trying something different: creating a transitional list of PCs built on the latest Intel Skylake hardware, but certified to run the tried-and-true Windows 7 and Windows 8.1 operating systems for now.

The program tacitly acknowledges that enterprises have a hardware budget they need to spend, and migrating a company from Windows 7 and Windows 8.1 can literally take years. Running an older OS on top of the latest hardware represents a “customer-first” approach to the transition, Microsoft said. 
 
Still, the carrot comes with a pair of sticks. Microsoft will support the list of Skylake PCs running Windows 7 and 8.1 for only 18 months, until July 2017. And while the Windows 7/8.1 integration is being designed with Intel’s Skylake in mind, new PCs based on upcoming chips—Intel’s Kaby Lake, Qualcomm’s 8996 chips, or AMD’s Bristol Ridge—will all require Windows 10.
Why this matters:  Microsoft’s free upgrade to Windows 10 was really a grassroots campaign to lobby businesses to adopt the new OS—and continue their lucrative license fees and support contracts. The 200 million “active” devices that now run Windows 10 prove the strategy has partially worked. Still, over 55 percent of the world’s PCs run Windows 7, including businesses who consider it to be a stable operating system. Microsoft appears willing to be patient, as long as the migration does happen, eventually.



Businesses adopt Windows 10 at their own pace

Even as Windows 10 adoption seems to be slowing, it appears businesses are embracing it. “The interest is definitely there,” said Bob O’Donnell, chief analyst at TECHnalysis Research, who ran several surveys of businesses in the fall, both in the United States and abroad. “But the interest and when they can do [deploy] it are two different things.”
”Companies are generally positive toward Windows 10,” agreed Steve Kleynhans, an analyst at Gartner.
 
Kleynhans said the industry has wrestled with the same sort of transition pains in the past, such as when companies migrated off Windows XP. “I don’t think that Microsoft needs to push them,” he added. “Companies are moving as fast as they can.”
 
Hardware budgets, however, force a company to buy PCs before they may be ready to roll out. The budget and the process for rolling out new PCs isn’t usually aligned with the project of deploying a new operating system across a company, Kleynhans noted. A company may buy a traditional notebook now and deploy it with Windows 7, intending to upgrade it to Windows 10 in a year's time.
A widening gap between hardware and software

Microsoft says it’s doing its best to bridge the gap between users’ enthusiasm for new hardware with their attachment to old software. “What we wanted to address...was that customers are buying new hardware every day,” Terry Myerson, executive vice president of the Windows and Devices Group at Microsoft, in an interview. 

Although PC sales continue to drop, they are still the platform of choice for most enterprises, and Windows comes with them. “We expect to see 300 million what we categorize as new PCs this year, and they want clarity as to where they can get fully-supported quality in those purchase decisions,” Myerson added.
 
Microsoft’s approach prioritizes keeping users on Windows first. If customers want the latest experience, they can turn to Windows 10. But now Microsoft and its partners have provided a “robust list of options” for customers to buy the latest hardware that will be patched and supported, while still running a tried-and-true OS, Windows 7 or Windows 8.1. “If you really value reliability and compatibility above all else, then there’s the option of buying hardware with the platform that was designed for it,” Myerson said.
The list of approved PCs includes several top brands:
  • Dell Latitude 12  
  • Dell Latitude 13 7000 Ultrabook
  • Dell XPS 13
  • HP EliteBook Folio
  • HP EliteBook 1040 G3 
  • Lenovo ThinkPad T460s
  • Lenovo ThinkPad X1 Carbon
  • Lenovo ThinkPad P70

The 18 months of support matters because running an aged OS running on cutting-edge hardware requires some finesse. Windows 7 was released in 2009, well before Intel even began designing the Skylake chips. That means Windows 7 or Windows 8.1 has certain expectations regarding hardware power states and interrupt processing, and any tweaks to the device drivers or firmware can cause issues, according to Microsoft. The support Microsoft and its partners will offer includes special testing to accommodate those quirks, as well as tools to help update the OS and BIOS once the customer decides to upgrade to Windows 10.  

Myerson said Microsoft worked together with its PC partners, including Intel, to create the list of approved PCs, as well as to jointly test BIOS updates and drivers. So far, there’s no indication that the list of Skylake PCs will include consumer models. Support of the Skylake Windows 7/8.1 PCs will include validation of Windows Updates to reduce regressions like security concerns, the company said.  

After the 18-month support timeframe ends on July 17, 2017, only the “most critical” Windows 7 and Windows 8.1 security updates will be addressed for those PCs, and “will be released if the update does not risk the reliability or compatibility of the Windows 7/8.1 platform on other devices,” Microsoft said in a blog post. Windows 7 remains on extended support until Jan. 14, 2020, and Windows 8.1 until Jan. 10, 2023.     

This story, "Microsoft certifies new PCs with Windows 7 to ease enterprises onto Windows 10" was originally published by PCWorld.

 

Dell steps up analytics push with Statistica 13, new vertical services

5:24 PM

Dell steps up analytics push with Statistica 13, new vertical services

The company's Analytics-as-a-Service line has gained several new industry-specific offerings

whatthingnews.com : Dell got a jump-start in the world of analytics software when it acquired StatSoft early last year, and on Tuesday it forged further ahead into the space with a new Statistica release and a variety of industry-specific services.

Announced at the company's Dell World conference taking place in Austin, Texas, this week, Statistica 13 updates the company's advanced analytics software platform with several key new capabilities. First and foremost is native distributed analytics, a feature that allows users to run analytics directly in the database where data resides. 

"Usually people dip data out of the database or Hadoop cluster and bring it back to a smaller server or desktop for analysis there," said John Thompson, general manager for advanced analytics with Dell Software. "This allows you to take your analytical models to the data." 

Users can build models and export them into different languages, including C, SQL or Java, Thompson explained. Then, they can transport them into the data environment of their choice.


For example, "you can now run Java models on Hadoop," he said. "This opens it up to allow people to run models on large amounts of data and also to transport models out to environments like the Internet of Things." 

Besides the ability to work with full volumes of data rather than just subsets, the new capability also brings better privacy and security since data can remain behind the corporate firewall without needing to traverse any networks, Thompson said. 

Also included in Statistica 13 are a revamped user interface, tighter integration with the R programming language, and a new stepwise model tool that progressively recommends optimum models for users. 

The software is available now featuring native distributed analytics capabilities for Microsoft SQL Server databases; additional databases will be added later, Dell said. 

As for the services portion of Dell's analytics news, the company is expanding its Analytics-as-a-Service line with several new industry-specific offerings. 

One targeting the medical industry, for example, focuses on helping organizations identify cases of medical identity theft, unnecessary diagnostic services and incorrect billing. Others focus on scoring the likelihood of claim denial and churn management. 

"It's all integrated and targeted for specific business problems, so time to market is going to be very quick," said Prasad Thrikutam, president and global head of applications for Dell Services. "It's also outcome-oriented, so you're not just throwing dollars at the problem and hoping something will come out." 

acquired



Dell has added another company to its growing software portfolio with the acquisition of predictive analytics company StatSoft for an undisclosed amount.
StatSoft sells analytics, database management and integration software. Terms of the acquisition were not detailed.

StatSoft’s products provide data mining and analytics capabilities—such as identifying trends via social networks—designed to help companies grow and better make sense of structured and unstructured data across server and cloud resources. The company’s primary offering is Statistica, which uses statistics and algorithms for data analysis and predictions.

Dell said in an announcement Monday that the StatSoft software will be packaged along with Dell x86 servers.

Dell is primarily is a hardware company, but with margins in x86 servers and PCs dwindling, has turned its focus to software over the last three years. The company acquired a range of software companies including Quest Software, Wyse, Boomi, AppAssure, SonicWall, Clerity and Make.

Dell has had trouble integrating into its core operations companies like Wyse, which continues to sell its cloud hardware and software while being largely disconnected from Dell’s other units.

Dell already sells the Kitenga analytics software, which is part of the Quest Software unit. StatSoft’s products can work in conjunction with the Kitenga offering, and add features like natural language processing to data analysis, said Matt Wolken, vice president and general manager of information management at Dell, in a blog entry about the acquisition.

Third-party software is also being packaged in Dell servers, and StatSoft tools will work with SAP’s Hana and databases from Oracle and Microsoft, Wolken said.
Some of StatSoft’s customers include Pepsi, Lenovo and Schlumberger.
sumber: whatthingnews.com:

R programming language gaining ground on traditional statistics packages

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the language.

“It is very likely that during the summer of 2014, R became the most widely used analytics software for scholarly articles, ending a spectacular 16-year run by SPSS,” wrote Robert Muenchen, in a blog post summarizing his analysis.

Muenchen gauged the popularity of statistical software packages by tracking how often they have been used for published scientific research and the number of mentions they get in online discussion forums, blogs, job listings and other sources.

Scholarly citations are a “good leading indicator of where things are headed,” Muenchen wrote. Students who learn to use these software packages later go on to use them in their professional careers, either in academia or industry.

In his latest survey, Muenchen found that researchers continue to do most of their work on traditional software packages, namely SAS’s and MATLAB’s self-named package, as well as IBM’s SPSS.

SPSS led the pack with over 75,000 citations in scientific papers, which were culled through a search on Google Scholar. SAS follows in second place with almost 40,000 citations. R was used in well over 20,000 research projects.

Moreover, when Muenchen examined the number of citations since 1995, he found that SPSS citations have declined since 2007. SAS trailed SPSS in usage, peaking in 2008. The use of R, in contrast, has been growing dramatically, faster than other packages such as Statistica and Stata.
“Extending the downward trend of SPSS and the upward trend of R make it likely that sometime during the summer of 2014 R became the most dominant package for analytics used in scholarly publications,” Muenchen wrote. “Due to the lag caused by the publication process, getting articles online, indexing them, etc. we won’t be able to verify that this has happened until well into 2015.”
R is an open-source functional programming language designed for statistical computing and graphics .

Muenchen, a certified statistician who manages the research computing support at the University of Tennessee, may not be the most impartial person to declare a victory for R—he also works as an R instructor on behalf of Revolution Analytics. But he has also been long recognized as an expert in computer analytics, contributing code to SAS, SPSS and various R packages. He has also served on the advisory boards of SAS and SPSS before it was acquired by IBM in 2009.
Muenchen did not speculate in the blog post summarizing his findings about why R is gaining popularity.

That implementations of R are available as open source—and can be downloaded by researchers starting on a project at no cost—may be a factor in its popularity, said Al Hilwa, who covers enterprise software development for IT analyst firm IDC.

“Like many open source projects with active communities, R has gotten better with time,” Hilwa wrote in an email. “I think what we are seeing are trends that are long in motion. Acquiring of developer skills around programming languages takes time and so what we are seeing is a delayed effect reflected in actual use data.”

In his study, Muenchen did not distinguish between which R distributions users cited, which could be Revolution Analytics’ open-source or enterprise editions, or the open-source volunteer-led R Project.
Other indicators also seem to point to the growing popularity of R, Muenchen noted. The number of job postings on Indeed.com requiring R skills has surpassed those asking for SPSS experience, though they are still fewer than the number of ads calling for SAS expertise. The number of books and discussion forums devoted to R exceeds those for either SAS or SPSS.

Hilwa also noted that there is increasing demand for workers with statistical and data analysis skills in general, which can be seen as the “tide that lifts all boats in this ecosystem of languages,” he wrote.

sumber: whatthingnews.com:
 

Microsoft unveils new betas for SQL Server 2016, Azure Data Lake services

5:07 PM

Microsoft unveils new betas for SQL Server 2016, Azure Data Lake services





Announcements are another step in the company's big data push

whatthingnews.com : Microsoft unwrapped a smorgasbord of data-related offerings at the Professional Association for SQL Server Summit in Seattle on Wednesday, including the next beta for its flagship database server software and the public beta of its Azure Data Lake Store and Analytics services. 

Version 3 of the SQL Server 2016 Community Technical Preview includes new support for SQL Server R Services, which brings the popular open source R language into Microsoft's database software. That way, SQL database administrators can build applications for analyzing data, and data scientists can work with data close to where it's being stored.
In addition to that, the technical preview update includes a bushel of other tweaks to previously released capabilities like SQL Server 2016's Stretch Database feature, which lets companies expand their databases across both on-premises servers and Microsoft's Azure cloud. Interested database administrators will be able to download the update in the coming days. 
Speaking of Azure, the platform's Data Lake Store service (which was previously announced as just Data Lake), has hit public beta, along with the Data Lake Analytics service. Those two services, provided through Microsoft's cloud platform, are designed to let companies handle large amounts of data, without requiring them to worry about how to architect the system for storing that data. 




Data Lake Store is a Hadoop file system that allows users to feed in data of any size and format either from one big load or from an active stream of data. Once it's in there, users can examine it using tools including the new Data Lake Analytics beta, an Apache YARN-based service that lets people examine data with U-SQL, a language that combines C# and SQL.
Finally, Azure SQL Database, Microsoft's managed cloud database service, has gained public beta support for In-Memory OLTP and real-time Operational Analytics. 
All of these announcements are part of Microsoft's push to level up its capabilities as a provider of applications and services for companies that need to handle large amounts of data. That's particularly important as more organizations pull in greater amounts of data from embedded devices, applications and a variety of other sources. The company is also locked in tight competition in the cloud with other service providers like Amazon, which has been pushing its new Aurora database as a SQL Server competitor.

Microsoft quietly unwraps a big-data analytics platform based on R

4:55 PM

Microsoft quietly unwraps a big-data analytics platform based on R

whatthingnews.com : Though commonly used for statistics, R 'looks like Cobol to sophisticated developers,' one analyst says
Microsoft this week took the next step following its acquisition of Revolution Analytics last year by unwrapping an advanced-analytics platform of its own based on the open source R programming language. 

Dubbed Microsoft R Server, the platform works with Windows, Linux, Hadoop and Teradata software. It's now available on the Microsoft Developer Network and via Microsoft's DreamSpark educational program. 
Last April Microsoft completed its acquisition of Revolution Analytics, provider of the Revolution R Enterprise (RRE) product on which R Server is now apparently based. Though Microsoft has renamed the software R Server in the Linux, Hadoop and Teradata versions, it's retaining the RRE name in the Windows version of the software. 

Microsoft R Open, which the company calls an "enhanced distribution of R from Microsoft," is said to be a prerequisite for both R Server 2016 and RRE for Windows 2016. 





Microsoft declined to comment with further detail.

In September, RRE made its debut on Azure; the following month, R support popped up in a preview of Microsoft SQL Server 2016. 

The R Server platform supports a variety of big-data statistics, predictive modeling and machine-learning capabilities, all compatible with the R programming language, wrote Lee Stott, a technical evangelist for Microsoft UK, in a blog post on Wednesday. 

Users can run R scripts in a high-performance, parallel architecture to explore, model and predict at scale, Stott added. 

The R language has become increasingly popular for use in statistics and analytics. By acquiring Revolution, Microsoft sought to shore up its own advanced-analytics capabilities, said Nik Rouda, a senior analyst with Enterprise Strategy Group. 

It's "not trivial" to perform advanced analytics in SQL, for example, so Microsoft "wanted R to be their entry point," Rouda said. 

Now, its release of R Server is the next logical step in executing on that plan.
Microsoft's Machine Learning technology can use R "behind the scenes" for data preparation, statistics and machine learning, noted Mike Gualtieri, a principal analyst with Forrester Research. 

"It's a good move for Microsoft, but I certainly hope they don't put all their data-science 'eggs' in the R basket," Gualtieri added. 

"I know R is popular among data scientists, but I think most computer scientists would think that it is not a very elegant, efficient or performant programming language for any purpose," he said. "R looks like Cobol to sophisticated developers." 

Instead, Python and other more modern programming languages are increasingly coming into favor, he said. 

Microsoft rolls out its R Server big-data analytics line-up

whatthingnews.com : Microsoft R Servers for Hadoop, Teradata and Linux -- seemingly, the renamed version of Revolution Analytics' commercial versions of its analytics products -- are available to MSDN subscribers.

Microsoft quietly made available this week a new family of R Server data-analytics products.
Thanks to a tweet from Tero Alhonen, I found listings on MSDN for a family of new Microsoft R Server products with January 4, 2016 release dates.
The new line-up includes:
  • Microsoft R Server for Hadoop on Red Hat
  • Microsoft R Server for Teradata DB
  • Microsoft R Server for Red Hat Linux
  • Microsoft R Server for SuSE Linux
  • RRE, which is Revolution R Enterprise, I believe. (Thanks, Marko!)
Here's the description on MSDN as to what these R servers are:
"Microsoft R Server is a fast and cost-effective enterprise-class big data advanced analytics platform supporting a variety of big data statistics, predictive modeling and machine learning capabilities. Microsoft R Server includes Open Source R and is fully compatible with R scripts, functions and CRAN packages, and offers a variety of analytics capabilities including exploratory data analysis, model building and model deployment."
R is a programming language for computational statistics. Microsoft last April completed its acquisition of Revolution Analytics, the maker of a distribution of the R programming language for statistical computing and predictive analytics, for an undisclosed amount.

Microsoft previously announced it plans to build R support directly into SQL Server 2016. Microsoft also announced last year plans to integrate Revolution's R distribution into the Azure HDInsight and Azure Machine Learning services.

Microsoft execs also said last year they would continue to support the open-source evolution of R, as well as the commercial distributions of Revolution R across multiple platforms, including Linux, Teradata and Hadoop.

I believe the new R Server products available to MSDN subscribers are the renamed versions of the promised commercial distributions of Revolution R. I've asked Microsoft officials for clarification, pricing and more details. No word back so far.




Update (January 6): There's a new Microsoft blog post that notes the R Servers are now also available to academics and students via DreamSpark. And there's a page with information about "Microsoft R Open," which is described as the "enhanced distribution of R from Microsoft." Microsoft R Open is a prerequisite for Microsoft R Server 2016 and RRE 2016, according to that page.

(Thanks, again, to Tero Alhonen for these latest links to the R Server information.)


Microsoft offers developers free tools for its R programming language software

4:44 PM

Microsoft offers developers free tools for its R programming language software


whatthingnews.com: The company has rebranded products that it acquired with Revolution Analytics last year
Microsoft is giving developers and students a free crack at its new server software for the R programming language. 

In a post to the company's Machine Learning blog, Microsoft Corporate Vice President Joseph Sirosh announced the new Microsoft R Server for Developers, which offers a free version of the software to members of the company's developer program. The software will give developers a test bed to work with an enterprise-grade version of the popular data analysis language before rolling it out into production.

The launch comes alongside Microsoft's rebranding of Revolution R Enterprise to Microsoft R Server, after its acquisition of Revolution Analytics last year. The server software can be used to analyze large sets of data on Linux, Hadoop and Teradata systems. The developer edition contains all of the features of its mass-market sibling, but can only be used for development and testing purposes.  

The benefit to using Microsoft R Server is that it comes with a support commitment so companies that need help can get it, along with improvements like the ability to process data in chunks or in parallel. That's important to businesses using R for mission-critical applications.   

Students and teachers who are part of Microsoft's DreamSpark program will also be able to download and use Microsoft R Server for free.

R Server will also be making the jump to the company's Azure cloud platform as a supported virtual machine type in the future, so developers can run it on Azure without a whole lot of setup work. 
All of this is part of Microsoft's continuing ambitions to drive businesses forward using big data tools, artificial intelligence and predictive analytics. The company has invested heavily over the past several years in building out capabilities for companies to reap more insights from the data that they have, in the hopes that will help power its business going forward. 

Less than a year ago we decided to acquire Revolution Analytics, the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical computing and predictive analytics. At the time, we committed to building R and Revolution’s technology into our broader database, big data and business intelligence offerings and to bring these benefits to customers and students – on-premises, in the Azure cloud, and to new platforms.
We have since delivered many innovations and updates to help customers and partners benefit from the power of R:
Today, I have a few more exciting announcements to make about delivering R -based analytics to new platforms, developers and the R community:  
Delivering Microsoft R Server across multiple platforms allows our enterprise customers to standardize advanced analytics on one core tool, regardless of whether they are using Hadoop (Hortonworks, Cloudera and MapR), Linux (Red Hat and SUSE) or Teradata. For Windows, Microsoft R Server will be included in SQL Server 2016 as SQL Server R Services – and the combined bundle is less expensive than RRE standalone. Until SQL Server 2016 is released, Revolution R Enterprise for Windows remains available as a standalone product.
"Advanced and predictive analytics is about developing and testing new models. But it's also about their incorporation by developers into production deployments of decision support and automation solutions that can benefit the whole organization. With its new offerings for the R ecosystem, Microsoft is playing an important role in bringing analyst modeling and productivity tools as well as deployment tools to a broader audience," said Dan Vesset Program VP, Business Analytics and Information Management at IDC.
In addition to today’s announcements we'll continue to work on delivering greater integration and innovation in our upcoming offerings including:
These announcements reinforce our commitment to making it easy for enterprises, R developers and data scientists to cost-effectively build applications and advanced analytics solutions at scale, both on-premises and in the cloud.  

What is Microsoft R Server?

Microsoft R Server is a broadly deployable enterprise-class analytics platform based on R that is supported, scalable and secure. Supporting a variety of big data statistics, predictive modeling and machine learning capabilities, R Server supports the full range of analytics – exploration, analysis, visualization and modeling. By using and extending open source R, Microsoft R Server is fully compatible with R scripts, functions and CRAN packages, to analyze data at enterprise scale. It also addresses the in-memory limitations of open source R by adding parallel and chunked processing of data in Microsoft R Server, enabling users to run analytics on data much bigger than what fits in main memory.
Since the acquisition of Revolution Analytics, Microsoft invested in making the product even more safe, more international and accessible, and easier to install, while building a slew of new features (more details at Microsoft R Server – What is New?). For example, the current release includes features such as:
  • R Language version 3.2.2.
  • Enterprise class support that you would expect of Microsoft.
  • Enterprise level security conforming to Microsoft's Security Development Cycle, including threat modeling and attack surface analysis, code analysis, extended fuzz testing, and more.
  • Accessibility and compliance with Microsoft Accessibility Standards.
  • Support for the Chinese government standard GB18030 encoding.
With Microsoft R Server for Hadoop, customers who use Hadoop can build and run R models in a distributed cluster using Microsoft R Server while working exclusively in their preferred R development environment. The software scales transparently by distributing work across Hadoop nodes, without the need for complex programming.
“At Hortonworks, we enable our customers to create modern data applications fueled by actionable intelligence from data in motion and data at rest. The combination of Microsoft’s R Server and our HDP and HDF platforms provides a scalable, enterprise-grade big data analytics solution based on the R language that millions of R developers can embrace for creating rich predictive analytics applications from billions of Internet of Anything data sources in a way that drives transformational value for the business," said Rob Bearden, CEO of Hortonworks.
With Microsoft R Server for Teradata, customers enjoy the advantage of bringing the analytics to the data by running advanced analytics models in-database on the Teradata appliances, rather than incurring the overhead of the traditional extract and analyze paradigm.
The Microsoft Data Science Virtual Machine will include a pre-installed and pre-configured version of Microsoft R Server Developer Edition, enabling R users to get started with data exploration and modeling right away on the cloud without needing to set up a fully configured system on premises.

Introducing Microsoft R Open

Revolution R Open is now called Microsoft R Open, and Microsoft continues its commitment of support for the open source R project, and to releasing regular updates to its enhanced, free distribution of R. Microsoft R Open enhances the performance of R with multi-threaded processor optimized computations provided by Intel Math Kernel Libraries (MKL) delivering large speedups especially in matrix oriented computations. It also makes it easier to build reliable applications with R on Windows, Mac and Linux by simplifying the management of R package versions. Microsoft R Open is 100% compatible with all R scripts and packages, and just like R is open source and free to download, use and share.
The R community is the keystone for the success of the R language, and a critical resource for data scientists, statisticians and now enterprises. Since the Revolution acquisition, Microsoft has continued to support the community, including expanding the sponsorship of R user groups and conferences. Investment in open source projects for R has also increased, with regular updates to Microsoft R Open and DeployR Open (a server for R deployment via web services), and new and updated R packages including checkpoint, an R package time-machine; ParallelR, for parallel R programming on clusters; and Azure ML, to deploy R functions to the Azure cloud as an API. In addition, Microsoft has pledged its support for the R Project by being one of the founding members of the R Consortium.
“As fellow members of the R Consortium, we’re thrilled to see Microsoft going all-in on support for the R language”, said JJ Allaire, CEO of RStudio Inc. “With a first-rate ecosystem of products and companies investing in R, the R language is truly enterprise-ready. We look forward to working with Microsoft on making customers successful with deployment ready, production quality tools and infrastructure.”
To learn more about Microsoft R Open, read the post by David Smith, R Community Lead. To get started and learn more about Microsoft R Server and Microsoft R Open, we invite you to sign up for our upcoming webinar series (dates below):

January 28, 2016

Intro to Microsoft R Open

David Smith

February 4, 2016

Using Microsoft R Server to Address Scalability Issues in R

Derek Norton

February 11, 2016

Data Mining with Microsoft R Server

Derek Norton

February 18, 2016

Best Practices for using Microsoft R Server with Hadoop

Jamie Olson

February 25, 2016

Using Microsoft R Server to Operationalize your Analytics

Jamie Olson
Here is a quick summary of all the links you need to get started:
As part of our commitment to help close the data scientist and analytics skills gap, we will also help educate and train aspiring developers and data scientists who want to learn R by leveraging the breadth and depth of our global programs and partner ecosystem, and with online courses such as Data Science and Machine Learning Essentials. I hope you will join us in our ambition to make R an enterprise standard for cross-platform advanced analytics, both on premises and in the cloud.


Sumber : 
http://www.itnews.com/article/3021855/microsoft-offers-developers-free-tools-for-its-r-programming-language-software.html?token=%23tk.ITN_nlt_ITnews_Internet_2016-01-18&idg_eid=fb85c022c420bebc3858d8dd4c151f8d&utm_source=Sailthru&utm_medium=email&utm_campaign=ITnews%20Internet%202016-01-18&utm_term=ITnews_Internet

http://blogs.technet.com/b/machinelearning/archive/2016/01/12/making-r-the-enterprise-standard-for-cross-platform-analytics-both-on-premises-and-in-the-cloud.aspx