Ian Wrigley demonstrates how Kafka Connect and Kafka Streams can be used together to build real-world, real-time streaming data pipelines. Using Kafka Connect, you’ll ingest data from a relational database into Kafka topics as the data is being generated and then process and enrich the data in real time using Kafka Streams before writing it out for further analysis.
You’ll see 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.
Ian Wrigley is a Technical Director at StreamSets, the company behind the industry’s first data operations platform. Over his 25-year career, Ian has taught tens of thousands of students subjects ranging from C programming to Hadoop development and administration.
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