Master the wicked fast apache kafka streaming platform through hands on examples and real world projects. In kafka in action you will learn     understanding apache kafka concepts     setting up and executing basic etl tasks using kafka connect     using kafka as part of a large data project team     performing administrative tasks     producing and consuming event streams     working with kafka from java applications     implementing kafka as a message queue kafka in action is a fast paced introduction to every aspect of working with apache kafka. Starting with an overview of kafka s core concepts, you ll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you ll soon be ready to use kafka in your day to day workflow, and start digging into even more advanced kafka topics. Purchase of the print book includes a free ebook in pdf, kindle, and epub formats from manning publications. About the technology think of apache kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With kafka, you can easily build features like operational data monitoring and large scale event processing into both large and small scale applications. About the book kafka in action introduces the core features of kafka, along with relevant examples of how to use it in real applications. In it, you ll explore the most common use cases such as logging and managing streaming data. When you re done, you ll be ready to handle both basic developer and admin based tasks in a kafka focused team. What s inside     kafka as an event streaming platform     kafka producers and consumers from java applications     kafka as part of a large data project about the reader for intermediate java developers or data engineers. No prior knowledge of kafka required. About the author dylan scott is a software developer in the insurance industry. Viktor gamov is a kafka focused developer advocate. At confluent, dave klein helps developers, teams, and enterprises harness the power of event streaming with apache kafka. Table of contents part 1 getting started 1 introduction to kafka 2 getting to know kafka part 2 applying kafk 3 designing a kafka project 4 producers sourcing data 5 consumers unlocking data 6 brokers 7 topics and partitions 8 kafka storage 9 management tools and logging part 3 going further 10 protecting kafka 11 schema registry 12 stream processing with kafka streams and ksqldb