Building stream processing applications for Apache Kafka using KSQL

A presentation at Copenhagen Kafka Meetup in in Copenhagen, Denmark by Robin Moffatt

Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there’s more!

KSQL is a declarative, SQL-like stream processing language that lets you easily define powerful stream-processing applications. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax.

Filtering one stream of data into another, creating derived columns, even joining two topics together—it’s all possible with KSQL. Come to this talk for a thorough overview of KSQL. There’ll be plenty of live coding on streaming data to illustrate clearly KSQL’s awesome power!

Resources

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