It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter Apache Kafka Practical Recipes.
Apache Kafka Cookbook. Learning Apache Kafka - Second Edition. Skip to content. Star Branches Tags. Could not load branches. Could not load tags. Latest commit.
Git stats 9 commits. Failed to load latest commit information. 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.
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