Microsoft R Server 9.1 on Azure HDInsight is generally available. With this, it brings more power to the cloud on Spark 2.1 on HDInsight 3.6.
This release of R Server on HDInsight includes the following features:
- State of the art new parallel machine learning algorithms on Spark and Hadoop
- Pre-trained cognitive models
- Interoperability between RevoScaleR, Sparklyr and H2O in a single Spark application
- A framework for executing massively pleasingly parallel workloads on Spark in an efficient and easy manner
Expert data scientists are adopting Advanced Analytics (AA) and Machine Learning (ML) at a rapid pace. This pace can be significantly increased when enterprise-grade AA and ML are available within environments where the customers’ data is, infusing intelligence into mission-critical applications is made much easier and, enterprises can turn to a single vendor to make the world of AA and ML synthesized and supported with the SLAs they have come to expect. Microsoft R Server 9.0, release includes significant innovations such as:
- New machine learning enhancements and inclusion of pre-trained cognitive models such as sentiment analysis & image featurizers
- SQL Server Machine Learning Services with integrated Python in Preview
- Enterprise grade operationalization with real-time scoring and dynamic scaling of VMs
- Deep customer & ISV partnerships to deliver the right solutions to customers
- A panoply of sources to help you get started with ease