Apache kafka. Streaming and data analysis. Shapira G., Palino T.

When working any corporate application, data is formed: magazine files, indicators, information about user activity, outgoing messages and others. Proper management of these data is no less important than the data themselves. If you are an architect, developer or engineer-technologist, but you are not yet familiar with Apache Kafka, then from this updated book you will learn how to work with the Kafka stream platform, which allows you to process data in real time. Additional chapters are devoted to Kafka APIs, transactions, new safety functions and changes to tools.

CONFLEENT and LINKEDIN engineers, which are responsible for KAFKA development, explain how to expand the production clusters of the KAFKA, write reliable Microservice controlled by events and create scalable applications for streaming data. With detailed examples, you will study the Kafka design principles, reliability guarantees, key APIs and architecture details.

2nd edition.