Sparkling Water 2.0 might come in handy if you are using Apache Spark

Getting the best of Apache Spark Sparkling Water 2.0 might come in handy if you are using Apache Spark July 4, 2016 Gabriela Motroc #apache spark Pouring mineral water image via Shutterstock Sparkling Water 2.0’s goal is to bring machine learning into the mainstream; this tool from H2O.ai offers an open-source algorithm development platform which helps companies use machine learning algorithms in their data analysis. According to the official statement, “Sparkling Water was designed to allow users to get the best of Apache Spark — its elegant APIs, RDDs and multi-tenant Context — along with H2O’s speed, columnar-compression and fully-featured machine learning algorithms.” Plus, this newly updated tool empowers enterprise customers to use H2O algorithms in conjunction with, or instead of, MLlib algorithms on Apache Spark. Matt Aslett, Research Director, Data…


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