Kafka Streams and ksqlDB: Real-Time Data

Working with unlimited and fast data streams has always been a challenging task. However, Kafka Streams and ksqlDB make it easy and simple to create stream processing applications. In this book, data processing specialists will learn how to use these tools to build scalable stream processing applications that move, enrich, and transform large volumes of data in real-time. Mitch Seymour, a data processing engineer at Mailchimp, explains the important concepts of stream processing using several interesting business challenges as examples. He discusses the advantages of Kafka Streams and ksqlDB to help you choose the most suitable tool for each unique stream processing project. For developers who do not write code in Java, the material dedicated to ksqlDB will be especially valuable.