You’ve got streams of data that you want to process and store? You’ve got events from which you’d like to derive state or build aggregates? And you want to do all of this in a scalable and fault-tolerant manner? It’s just as well that Kafka and ksqlDB exist!
ksqlDB enables you to build event streaming applications with the same ease and familiarity of building traditional applications on a relational database. It also simplifies the underlying architecture for these applications so you can build powerful, real-time systems with just a few SQL statements.
This talk will cover the concepts and capabilities of ksqlDB. We’ll show how you can apply transformations to a stream of events from one Kafka topic to another. We’ll discuss using ksqlDB connectors to bring in data from other systems and use that data to join and enrich streams.
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This session is part 3 of 3 in our Stream Processing Fundamentals series.