Spark 2.0 is a major milestone for the project. It achieves major advances in performance and introduces new initiatives to unify streaming processing with the Spark’s SQL engine. Tathagata Das explores these exciting new developments in Spark 2.0 as well as some other major initiatives that are coming in the future.
Tathagata Das is an Apache Spark committer and a member of the PMC. He is the lead developer behind Spark Streaming, which he started while a PhD student in the UC Berkeley AMPLab, and is currently employed at Databricks. Prior to Databricks, Tathagata worked at the AMPLab, conducting research about data-center frameworks and networks with Scott Shenker and Ion Stoica.
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