How to Process GitHub Data with Kafka Streams

The text discusses using Apache Kafka to track events in a large codebase, specifically GitHub's data sources (REST + GraphQL APIs). It explains how to use the Confluent GitHub source connector to get GitHub events into a Kafka topic and then process those events using Kafka Streams topology. The author also provides an overview of data pipelines, sources, and sinks, as well as details on implementing a state store in Kafka Streams. Furthermore, the text touches upon extending the project by adding a sink and mentions other resources for learning more about Kafka demos, Flink SQL tutorials, and resolving "unknown magic byte" errors.

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