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Published on Feb 8, 2017

Big data remains a rapidly evolving field with new applications and infrastructure appearing every year. In this talk, Matei Zaharia will cover new trends in 2016 / 2017 and how Apache Spark is moving to meet them. In particular, he will talk about work Databricks is doing to make Apache Spark interact better with native code (e.g. deep learning libraries), support heterogeneous hardware, and simplify production data pipelines in both streaming and batch settings through Structured Streaming.

This talk was originally presented at Spark Summit East 2017.

See more videos from Apache Spark Summit East 2017 

“Building Real Time BI Systems with Kafka, Spark & Kudu: Spark Summit East talk by Ruhollah Farchtchi” — One of the key challenges in working with real-time and streaming data is tha…

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Blog Publisher / Head of Data Science Search

Founder & Head of Data Science Search at Starbridge Partners, LLC.