Book Image

Building Data Streaming Applications with Apache Kafka

By : Chanchal Singh, Manish Kumar
Book Image

Building Data Streaming Applications with Apache Kafka

By: Chanchal Singh, Manish Kumar

Overview of this book

Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it.
Table of Contents (14 chapters)

Summary

In this chapter, you learned about Kafka Stream and how it makes sense to use Kafka Stream to do transformation when we have Kafka in our pipeline. We also went through the architecture, internal working, and integrated framework advantages of Kafka Streams. We covered KStream and KTable in brief and understood how they are different from each other. A detailed explanation of the Kafka Stream API is out of the scope of this book.

In the next chapter, we will cover the internals of Kafka clusters, capacity planning, single-cluster and multi-cluster deployment, and adding and removing brokers.