Title
Mastering Kafka Streams and ksqlDB: Building RealTime Data Systems by Example,Used
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Working with unbounded and fastmoving 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 several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. NonJava developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production
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- Q: What is the primary focus of 'Mastering Kafka Streams and ksqlDB'? A: The book primarily focuses on building real-time data systems using Kafka Streams and ksqlDB, guiding readers through stream processing applications with practical examples.
- Q: Who is the author of this book? A: The author of 'Mastering Kafka Streams and ksqlDB' is Mitch Seymour, a data services engineer at Mailchimp.
- Q: What skills will I learn from this book? A: Readers will learn to build stateless and stateful stream processing applications, perform advanced operations, and understand the underlying mechanisms of stateful processing.
- Q: Is this book suitable for non-Java developers? A: Yes, non-Java developers will find the ksqlDB path to be a gentle introduction to stream processing, making it accessible for those without extensive programming background.
- Q: How many pages does the book have? A: The book contains 432 pages, providing a comprehensive guide on Kafka Streams and ksqlDB.
- Q: What is the binding type of this book? A: The book is available in paperback binding.
- Q: When was 'Mastering Kafka Streams and ksqlDB' published? A: The book was published on March 16, 2021.
- Q: What are the key topics covered in the book? A: Key topics include Kafka basics, pub/sub communication, windowed joins, aggregations, data integration features, and deploying applications to production.
- Q: Is the book suitable for beginners in data engineering? A: Yes, the book is suitable for beginners, especially those interested in stream processing, as it covers fundamental concepts as well as advanced techniques.
- Q: Does the book provide real-world examples? A: Yes, the book features several real-world business problems that illustrate the application of Kafka Streams and ksqlDB in practical scenarios.