Use Case: Spark Performance Monitoring By @MLnick | @CloudExpo [#BigData]

At Graphflow, our mission is to empower online stores of all sizes to grow their businesses by providing them access to the same machine learning and Big Data tools used by the largest and most sophisticated tech players in the market. To deliver on this mission, we decided from the very beginning to go ‘all in’ on Spark for our scalable analytics and machine learning applications. When Graphflow started using Spark, it was on version 0.7.0, and it was relatively immature. A lot has changed over the past year and a half: Spark has become a top-level Apache project, version 1.2.0 was released, and Spark has matured significantly in terms of functionality, deployment, stability, and operations.

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