Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.

Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of ...