Apache Kafka. Stream Processing and Data Analysis

When working with any corporate application, data is generated: log files, metrics, user activity information, outgoing messages, and more. Proper management of this data is as important as the data itself. If you are an architect, developer, or technology engineer but are not yet familiar with Apache Kafka, this updated book will teach you how to work with the Kafka streaming platform that allows for real-time data stream processing. Additional chapters are dedicated to Kafka's AdminClient API, transactions, new security features, and changes to the tooling. Engineers from Confluent and LinkedIn, responsible for the development of Kafka, explain how to deploy production Kafka clusters using this platform, write reliable event-driven microservices, and create scalable applications for data stream processing. Through detailed examples, you will learn the principles of Kafka design, reliability guarantees, key APIs, and architectural details.