Dataiku DSS 3.1 goes Spark-vative with Scala

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Dataiku, the maker of the all-in-one predictive analytics software platform Dataiku Data Science Studio (DSS), has released Dataiku DSS 3.1, which adds additional external integrations, an improved UX interface, 5 visual machine learning engines, and now enables transformations in Apache Spark’s native language, Scala. It’s Mac OS X, Windows, and Linux compatible.
In addition to Python, R, SQL, Hive, Impala, and Pig, Dataiku DSS 3.1 now enables Apache Spark users to write transformations and interactive notebooks in Scala. To learn more about using Scala in Dataiku DSS go to .
Dataiku DSS 3.1 also introduces new visual machine learning engines that allow users to create predictive applications within a code-free interface. Users of all skill levels can now leverage HPE Vertica machine learning, H2O Sparkling Water, MLlib, Scikit-Learn, and XGBoost directly from within the visual analysis section of Dataiku DSS 3.1 to apply powerful machine learning algorithms to their data science projects without having to write a single line of code, according to Florian Douetteau, CEO and co-founder of Dataiku.

Additional features of DSS 3.1 include: new external databases; a new DSS project home page; a new, fluid way to navigate between items; and better Integration with Tableau. To learn more go to .

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