Tim Berglund demonstrates how to use Kafka Connect and Kafka Streams to build real-world, real-time streaming data pipelines—using Kafka Connect to ingest data from a relational database into Kafka topics as the data is being generated and then using Kafka Streams to process and enrich the data in real time before writing it out for further analysis.
You’ll learn how easy it is to use Connect to ingest and export data (no code required), and how the Kafka Streams domain-specific language (DSL) means that developers can concentrate on business logic without worrying about the low-level plumbing of streaming data processing. And because Streams is a Java library, developers can build real-time applications without needing a separate cluster to run an external stream processing framework.
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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