Microsoft R Server 9.1 now available 

1 min read

During yesterday’s Data Amp event, Microsoft announced the new Microsoft R Server 9.1, which is available now. In addition to several advanced machine learning algorithms from Microsoft, R Server 9.1 introduces pre-trained neural network models for sentiment analysis and mage featurization and supports SparklyR, SparkETL, and SparkSQL. This release also includes the updated Microsoft R Client, which is now Read more

Updates to HDInsight tools for IntelliJ and Eclipse now available 

1 min read

HDInsight is Microsoft Azure’s managed Hadoop-as-a-service. It is the only fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server – all backed by a 99.9% SLA. Each of these big data technologies and ISV applications are easily deployable as managed clusters with enterprise-level Read more

Microsoft at OSCON 2016 

4 min read

A planeload of open source enthusiasts from across Microsoft are joining the more than 4,200 participants at OSCON this week, to focus on how the open source ecosystem is playing a key role in technology innovation – from mobile development and IoT to microservices and containers. Openness is crucial to enabling a thriving technology ecosystem Read more

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Now available in preview: R Server inside Azure HDInsight 

1 min read

This week at Strata + Hadoop World, Microsoft announced the availability of R Server inside Azure HDInsight, Microsoft’s managed Hadoop-as-a-service part of Azure Data Lake. R is a very popular programming language that helps millions of data scientists solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R Server for Read more

Making R the Enterprise Standard for Cross-Platform Analytics 

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Last year Microsoft acquired Revolution Analytics, the leading commercial provider of software and services for R, an open source, statistical programming language that’s widely used for statistical computing and predictive analytics. Since then, there has been a steady cadence of updates to Revolution R Open and Revolution R Enterprise, as well as the integration of Read more