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Online Open Source Database Conference
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Wednesday, May 12 • 14:30 - 15:00
SQL Without the Database? Stream Instead of Storing

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Video will become available 10 minutes before session start

Why store when you can stream? Modern open source streaming platforms like Apache Kafka provide means of storing and processing event-driven data. When combined with streaming analytics projects like Apache Flink, many business applications, and event-driven microservices may not even need a database storage layer.

With the rise of streaming SQL engines, in particular FlinkSQL, developers with SQL and database skills can use these to build complex event processing and advanced analytics applications.

There are performance advantages to being able to run queries before data lands in a database. However, full solutions often need long-term storage as well for regulatory purposes, forensic purposes or to train machine learning to work better in the stream.

This talk will cover new approaches to data architecture, how it fits into existing event and traditional database applications, and provides practical examples, and approaches to operating systems build on streaming on cloud, using open source projects.

avatar for Simon Elliston Ball

Simon Elliston Ball

Product Manager
Simon has been working on streaming data analytics for many years, at Hortonworks, the Cloudera, and now with Amazon Web Services, where he is the Product Manager for Managed Kafka Services. He also managed contributions to Flink and Kafka for Cloudera, and is an OpenUK top 100 list... Read More →

Wednesday May 12, 2021 14:30 - 15:00 EDT
Room #5
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