In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0.
- Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0
- Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.)
- Learn about Datasets – a new abstraction that eliminates large swaths of unnecessary code
- Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines
- Learn about the Catalyst optimizer and Tungsten – new tools for efficient pipeline analysis
- Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more
- Learn about streaming DataFrames and how they unify interactive analysis
- See a demo of Structured Streaming and learn why it was developed
Michael Arbrust and Tathagata Das work at Databricks, the company founded by the creators of Apache Spark. Das is the lead developer behind Spark Streaming, which he started while a PhD student in the UC Berkeley AMPLab. Armbrust is the lead developer for Spark’s SQL project. He holds a PhD from Berkeley.