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)

Message topics

If you are into software development and services, I am sure you will have heard terms such as database, tables, records, and so on. In a database, we have multiple tables; let's say, Items, Price, Sales, Inventory, Purchase, and many more. Each table contains data of a specific category. There will be two parts in the application: one will be inserting records into these tables and the other will be reading records from these tables. Here, tables are the topics in Kafka, applications that are inserting data into tables are producers, and applications that are reading data are consumers.

In a messaging system, messages need to be stored somewhere. In Kafka, we store messages into topics. Each topic belongs to a category, which means that you may have one topic storing item information and another may store sales information. A producer who wants to send a message...