Kafka Streams - Real-time Stream Processing

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Learning Journal, Mar 26, 2019 - Computers - 350 pages

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.

 

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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.
 

Contents

Chapter 1 Dawn of Bigdata
1
Chapter 2 Realtime Streams
7
Chapter 3 Streaming Concepts
17
Chapter 4 Why Apache Kafka
29
Chapter 5 Why Messaging System
39
Chapter 6 How Kafka Works
47
Chapter 7 Streaming into Kafka
65
Chapter 8 Producer Examples
89
Chapter 13 States and Stores
151
Chapter 14 Aggregates and Tables
169
Chapter 15 Timestamps and Windows
201
Chapter 16 Joining Streams and Tables
219
Chapter 17 Streams Architecture
239
Chapter 18 Testing Streams Application
247
Chapter 19 Interactive Query
263
Chapter 20 Processor API
281

Chapter 9 Kafka Consumers
103
Chapter 10 Kafka Streams API
113
Chapter 11 Creating Topology
119
Chapter 12 Types and Serialization
133
Appendix A Setup and Configuration
301
Back Cover
328
Copyright

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About the author (2019)

Prashant Kumar Pandey is passionate about helping people to learn and grow in their career by bridging the gap between their existing and required skills. In his quest to fulfill this mission, he is authoring books, publishing technical articles, and creating training videos to help IT professionals and students succeed in the industry.

With over 18 years of experience in IT as a developer, architect, consultant, trainer, and mentor, he has worked with international software services organizations on various data-centric and Bigdata projects.

Prashant is a firm believer in lifelong continuous learning and skill development. To popularize the importance of lifelong continuous learning, he started publishing free training videos on his YouTube channel (www.youtube.com/learningjournalin) and conceptualized the idea of creating a Journal of his learning under the banner of Learning Journal.

He is the founder, lead author, and chief editor of the portal (www.learningjournal.guru) that offers various skill development courses, training, and technical articles since the beginning of the year 2018.

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