Apache Kafka is a de facto standard streaming data processing platform. It’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 needs that commonly 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.
Tim Berglund leads this solid introduction to Apache Kafka as a streaming data platform. You’ll cover the internal architecture, APIs, and platform components like Kafka Connect and Kafka Streams, then finish with an exercise processing streaming data using KSQL, the new SQL-like declarative stream processing language for Kafka. Join in for an overview of KSQL with live-coding on live streaming data.
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.
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