Virtualization Technology News and Information
RSS Integrates with Microsoft Azure HDInsight to Bring Robust AI platform to Enterprises is excited to announce that its AI platform is now available on Microsoft Azure HDInsight. Customers can now use's Sparkling Water solution on a HDInsight cluster along with Azure's collection of cloud services. Together, the H2O team and Azure HDInsight team will integrate technologies to deliver enterprises the best business solutions and to build relationships within the open analytics community.  

H2O's AI platform is the first and only open source machine learning that works with Spark 2.0+, sparklyr, and PySpark. H2O Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers.

Azure HDInsight is the only fully-managed cloud Hadoop offering that provides optimized open source analytical clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9 percent SLA. Each of these big data technologies and ISV applications, such as H2O, are easily deployable as managed clusters with enterprise-level security and monitoring.

Setting up an environment to perform advanced analytics and data science on top of big data is hard, but with H2O Artificial Intelligence for HDInsight, customers can get an advanced analytics platform in the cloud with just a few clicks. You can either install H2O Artificial Intelligence on an existing HDInsight Spark cluster, or install during the creation of a new HDInsight cluster on Azure. This solution will install Sparkling Water on a Spark cluster so you can exploit all the benefits from both Spark and H2O. The solution can access data from Azure Blob storage and/or Azure Data Lake Store in addition to all the standard data sources that H2O supports. It also provides Jupyter Notebooks with pre-baked H2O examples for an easy jumpstart, and a friendly H2O FLOW UI to monitor and debug the data science applications.

Together with this combined offering of H2O on Azure HDInsight, customers can easily build data science solutions and run them at enterprise grade and scale. Azure provides the tools for a user to create a Data Science environment with underlying big data frameworks like Hadoop and Spark, while H2O's technology brings a set of sophisticated, fully distributed algorithms to rapidly build and deploy highly accurate models at scale.

"We want to ensure our customers have a comprehensive machine learning environment, enabling them to get the most value out of their data," said Joanne Marone, Director, Data Platform Product Marketing at Microsoft. "Working with enables Microsoft to offer their AI platform in combination with our own investments in open source analytics on Microsoft Azure HDInsight, providing data scientists and big data engineers with more choice for machine and deep learning on Azure." is now available on the Azure marketplace here and in HDInsight application. To get started, please refer to H2O documentation and this blog post.

Published Wednesday, April 05, 2017 7:59 AM by David Marshall
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