Ram Sriharsha reviews major developments in Apache Spark 2.0 and discusses future directions for the project to make Spark faster and easier to use for a wider array of workloads, with an emphasis on API evolution, single-node performance (Project Tungsten Phase 3), and Structured Streaming.
Ram Sriharsha is the product manager for Apache Spark at Databricks and an Apache Spark committer and PMC member. Previously, Ram was architect of Spark and data science at Hortonworks and principal research scientist at Yahoo Labs, where he worked on scalable machine learning and data science. He holds a PhD in theoretical physics from the University of Maryland and a BTech in electronics from the Indian Institute of Technology, Madras.
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