How Apache Calcite brings SQL and sanity to streaming and spatial data - Julian Hyde

This is talk on how Apache Calcite brings SQL and sanity to streaming and spatial data from SF Big Analytics meetup on June 27, 2018.
The revolution has happened. We are living the age of the deconstructed database. The modern enterprises are powered by data, and that data lives in many formats and locations, in-flight and at rest, but somewhat surprisingly, the lingua franca for remains SQL. In this talk, Julian describes Apache Calcite, a toolkit for relational algebra that powers many systems including Apache Beam, Flink and Hive. He discusses some areas of development in Calcite: streaming SQL, materialized views, enabling spatial query on vanilla databases, and what a mash-up of all three might look like.

Julian Hyde is an expert in query optimization and in-memory analytics. He founded Apache Calcite, a framework for query optimization and data virtualization. He also founded Mondrian, the popular open source OLAP engine, and co-founded SQLstream, an early streaming SQL platform. He is an architect at Looker.

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