Processing Streaming Data with KSQL

Tim Berglund | GOTO Copenhagen 2019

Transcript

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! Kafka now offers KSQL, a declarative, SQL-like stream processing language that lets you define powerful stream-processing applications easily. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. Come to this talk for an overview of KSQL with live coding on live streaming data.

What will the audience learn from this talk? he audience will learn the very basics of Apache Kafka, why a stream processing framework is necessary, and how to perform common stream-processing operations with KSQL.

Does it feature code examples and/or live coding? Yes it does

Prerequisite attendee experience level: This is a level 200 talk

About the speakers