Apache Spark 2.0: Faster, Easier, and Smarter

Presented by

Reynold Xin

About this talk

In this webcast, Reynold Xin from Databricks will be speaking about Apache Spark's new 2.0 major release. The major themes for Spark 2.0 are: - Unified APIs: Emphasis on building up higher level APIs including the merging of DataFrame and Dataset APIs - Structured Streaming: Simplify streaming by building continuous applications on top of DataFrames allow us to unify streaming, interactive, and batch queries. - Tungsten Phase 2: Speed up Apache Spark by 10X

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Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.