More and more organizations are moving towards an event-driven, real-time streaming architecture, using Apache Kafka as their streaming backbone. Having event streaming applications allows these organizations to unlock new benefits by combining various data feeds.

However, getting actionable insights in a timely fashion has remained a challenge as to how do you query streaming data? ksqlDB solves this by providing an interactive SQL interface allowing you to, in real-time, query the streaming data, doing aggregations, in essence treating the data as it was data persisted in a database.

This demo-filled session will look at how to:
* execute ksqlDB push/pull queries
* create ksqlDB User Defined Functions
* use table and streams

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