Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects. \n \nIn Kafka in Action you will learn: \n \nUnderstanding Apache Kafka concepts \nSetting up and executing basic ETL tasks using Kafka Connect \nUsing Kafka as part of a large data project team \nPerforming administrative tasks \nProducing and consuming event streams \nWorking with Kafka from Java applications \nImplementing Kafka as a message queue \n \nKafka 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. \n \nAbout the technology \nThink 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. \n \nAbout the book \nKafka 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. \n \nWhat's inside \n \nKafka as an event streaming platform \nKafka producers and consumers from Java applications \nKafka as part of a large data project \n \nAbout the reader \nFor intermediate Java developers or data engineers. No prior knowledge of Kafka required. \n \nAbout the author \nDylan 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.

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