Making R the Enterprise Standard for Cross-Platform Analytics, Both On-Premises and in the Cloud – Machine Learning

 

By Joseph Sirosh, Corporate Vice President, Microsoft Data Group

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.

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 modelling 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:

More at the link below.

Making R the Enterprise Standard for Cross-Platform Analytics, Both On-Premises and in the Cloud – Machine Learning – Site Home – TechNet Blogs

January 12, 2016 · Rahul Desai · No Comments
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