Apache Kafka is a de facto standard streaming data processing platform that’s widely deployed as a messaging system and has a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the common needs of real-time message processing.
The Kafka ecosystem 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.
Tim Berglund details how to produce and consume from a Kafka topic, how to use Kafka Connect to consume data from a relational database, and how to enrich and aggregate streaming data using KSQL. You’ll leave much more of a Kafka user and thinker, ready to explore your first event-driven system as soon as you get home.
Tim Berglund is the senior director of developer experience with Confluent, where he serves as a teacher, author, and technology leader. Tim can frequently be found speaking at conferences internationally and in the United States. He’s the copresenter of various O’Reilly training videos on topics ranging from Git to distributed systems and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at Timberglund.com, and is the cohost of the DevRel Radio podcast. He lives in Littleton, Colorado, with the wife of his youth and their youngest child, the other two having mostly grown up.
SRE at Confluent
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