H2O.ai releases Sparkling Water 2.0, GitHub provides access to open-source data, and EMEA …

Today, H2O.ai announced the availability of Sparkling Water 2.0, an API for Apache Spark with new features and functionality. Sparkling Water now includes the ability to interface with Apache Spark, MLlib and Scala to give Spark user’s more visual capabilities. Sparkling Water 2.0 builds off of Sparkling Water, which was designed to give its users APIs, RDDs and multi-tenant context, as well as machine learning algorithms. Sparkling Water also allows enterprises to use H2O algorithms with MLlib algorithms on Apache Spark. “Enterprises are looking to take advantage of a variety of machine learning algorithms to address an increasingly complex set of use cases when determining how to best serve their customers,” said Matt Aslett, research director of data platforms and analytics at 451 Research. “Sparkling Water is likely to be…


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