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Wednesday, January 28, 2015

Microsoft loves Linux

Now, Microsoft might seem like a strange bedfellow for an open-source company, but the company continues to make great strides in the open-source arena recently. Microsoft has embraced Linux as a fully-supported operating system on its Azure cloud service. (CEO Satya Nadella proclaimed “Microsoft loves Linux” in foot-high letters at a press event back in October.) Microsoft supports Hadoop with Azure HDInsight and has partnered with Hortonworks to extend open-source Hadoop for the enterprise. (In 2013, Microsoft open-sourced REEF to provide a big-data analytics framework for YARN.)  The .NET Core is now open-source, providing an alternative developer framework to Java.
Microsoft has been an active participant in many other open source projects, too. There are over 1,600 OSS projects from Microsoft on CodePlex and GitHub. Microsoft engineers have actively contributed to the Linux kernel for years, and the company has contributed to open source community projects including Chef, Puppet, Docker, MongoDB, Redis and OpenJDK. Microsoft blogs regularly provide information and resources for open-source tools, including Chef, Puppet and Docker.
And Microsoft is a big user of R. Microsoft used R to develop the match-making capabilities of the Xbox online gaming service. It’s the tool of choice for data scientists at Microsoft, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing and Finance departments. Microsoft supports R extensively within the Azure ML framework, including the ability to experiment and operationalize workflows consisting of R scripts in MLStudio.   

Microsoft to acquire Revolution Analytics to help customers find big data value with advanced statistical analysis

I’m very pleased to announce that Microsoft has reached an agreement to acquire Revolution Analytics. Revolution Analytics is the leading commercial provider of software and services for R, the world’s most widely used programming language for statistical computing and predictive analytics. We are making this acquisition to help more companies use the power of R and data science to unlock big data insights with advanced analytics.

As their volumes of data continually grow, organizations of all kinds around the world – financial, manufacturing, health care, retail, research – need powerful analytical models to make data-driven decisions. This requires high performance computation that is “close” to the data, and scales with the business’ needs over time. At the same time, companies need to reduce the data science and analytics skills gap inside their organizations, so more employees can use and benefit from R. This acquisition is part of our effort to address these customer needs.

Revolution Analytics provides an enterprise-class platform for the development and deployment of R-based analytic solutions that can scale across large data warehouses and Hadoop systems, and can integrate with enterprise systems. Its Revolution R product line, combined with its expert advisory services and training, help people and companies realize the potential of big data using sound statistical, scientific methodologies. Top customers include some of the world’s largest banks and financial services organizations, pharmaceutical companies, consulting services organizations, manufacturing and technology companies. Revolution Analytics is also an important part of the vibrant R community of over 2 million users worldwide. The company regularly contributes to open source R projects such as ParallelR, and RHadoop, and helps support more than 150 R user groups across the world.

R visualization of how the World Cup national teams are drawn from League players from around the world. Source: Guy Abel

This acquisition will help customers use advanced analytics within Microsoft data platforms on-premises, in hybrid cloud environments and on Microsoft Azure. By leveraging Revolution Analytics technology and services, we will empower enterprises, R developers and data scientists to more easily and cost effectively build applications and analytics solutions at scale.

Additionally, we are excited to help foster the open source evolution of R and, particularly, the community of people that drives that evolution. We will continue to support and evolve both open source and commercial distributions of Revolution R across multiple operating systems. This builds on Microsoft’s existing participation in open source, such as contributions to projects like Hive, YARN, REEF and others in the Apache Hadoop community, our support for Linux and open source technologies on Microsoft Azure, and the wide range of open source work by Microsoft Open Technologies. This is closely related to our Microsoft Azure for Research and Education programs, as well.

As a data scientist and longtime R enthusiast, I am incredibly excited about Revolution Analytics technology and employees joining Microsoft. I firmly believe that we are at the threshold of a revolution in information technology driven by the use of statistics and scientific analyses on big data. We will provide an update when the acquisition transaction is closed.

You can also read a blog post by David Smith, chief community officer at Revolution Analytics, here.




Curso de Data Mining utilizando o R

Boa Tarde pessoal,

Estamos abrindo uma turma presencial de R para os dias 25, 26 e 27 de Fevereiro de 2015 em São Paulo.

Interessados em aprender a trabalhar com o software R devem entrar em contato com o e-mail

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software[2][3] and data analysis.[3] Polls and surveys of data miners are showing R's popularity has increased substantially in recent years.[4][5][6]
R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R was created by Ross Ihaka and Robert Gentleman[7] at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors and partly as a play on the name of S.[8]
R is a GNU project.[9][10] The source code for the R software environment is written primarily in C, Fortran, and R.[11] R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. R uses a command line interface; there are also several graphical front-ends for it.

Thursday, January 08, 2015

Encontro da Comunidade Pentaho Brasil e Mesa Redonda @ CPBR8 Campus Party Brasil

Em Dec 17, 2014, às 12:53, Conteudos Comunidades escreveu:

Olá Caio!

Sua atividade na Campus Party foi selecionada. Parabéns! Avaliamos por aqui como muito interessante e será demais ter a comunidade Pentaho na Campus Party Brasil 2015.

Atividade: Encontro da Comunidade Pentaho Brasil e Mesa Redonda
Quando: 04.02 | 00h - 01h
Onde: Palco Urano

Espero encontrar todo no Encontro da Comunidade Pentaho Brasil e Mesa Redonda @ CPBR8 Campus Party Brasil.

Saiba mais sobre a Campus Party Brasil 2015.

What the Tech Industry Has Learned from Linus Torvalds: Jim Zemlin at TEDxConcordiaUPortland