Kafka Streams - Real-time Stream Processing
The book Kafka Streams - Real-time Stream Processing helps you understand the stream processing in general and apply that skill to Kafka streams programming. This book is focusing mainly on the new generation of the Kafka Streams library available in the Apache Kafka 2.x. The primary focus of this book is on Kafka Streams. However, the book also touches on the other Apache Kafka capabilities and concepts that are necessary to grasp the Kafka Streams programming.
Who should read this book?
Kafka Streams: Real-time Stream Processing is written for software engineers willing to develop a stream processing application using Kafka Streams library. I am also writing this book for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level.
What should you already know?
This book assumes that the reader is familiar with the basics of Java programming language. The source code and examples in this book are using Java 8, and I will be using Java 8 lambda syntax, so experience with lambda will be helpful.
Kafka Streams is a library that runs on Kafka. Having a good fundamental knowledge of Kafka is essential to get the most out of Kafka Streams. I will touch base on the mandatory Kafka concepts for those who are new to Kafka. The book also assumes that you have some familiarity and experience in running and working on the Linux operating system.
What people are saying - Write a review
A great book on Kafka Streams and feel that it's a pioneer on its own. Prashant has done a great job to portray the concepts and what makes more interesting is the story telling narrative. Really recommend it for all who wishes to learn and work in Streaming architecture.
5 stars from me and looking forward more from Prashant over time.
Chapter 13 States and Stores
Chapter 14 Aggregates and Tables
Chapter 15 Timestamps and Windows
Chapter 16 Joining Streams and Tables
Chapter 17 Streams Architecture
Chapter 18 Testing Streams Application
Chapter 19 Interactive Query
Chapter 20 Processor API
Chapter 9 Kafka Consumers
Chapter 10 Kafka Streams API
Chapter 11 Creating Topology
Chapter 12 Types and Serialization
Appendix A Setup and Configuration