Apache Kafka Quick Start Guide

Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0Key FeaturesSolve practical large data and processing challenges with KafkaTackle data processing challenges like late events windowing and watermarkingUnderstand real-time streaming applications processing using Schema registry Kafka connect Kafka streams and KSQLBook DescriptionApache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the fly. In this book you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines.This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment before quickly moving on to performing fundamental messaging operations such as validation and enrichment.Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats such asext binary XML JSON and AVRO. Next you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams you will perform various interesting operations on streams such as windowing joins and aggregations. Finally through KSQL you will learn how to retrieve insert modify and delete data streams and how to manipulate watermarks and windows.What you will learnHow to validate data with KafkaAdd information to existing data flowsGenerate new information through message compositionPerform data validation and versioning with the Schema RegistryHow to perform message Serialization and DeserializationHow to perform message Serialization and DeserializationProcess data streams with Kafka StreamsUnderstand the duality between tables and streams with KSQLWho this book is forThis book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however a familiarity of Java or any JVM language will be helpful in understanding the code in this book. About the Author Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves all topics related to computer science. With more than 15 years of experience in high-availability and enterprise software he has been designing and implementing architectures since 2003. His specialization is in systems integration and he mainly participates in projects related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc. but he also enjoys web mobile and game programming. Raúl is a supporter of free software and enjoys experimenting with new technologies frameworks languages and methods. Raúl is the author of other Packt Publishing titles such as Fast Data Processing Systems with SMACK and Apache Kafka Cookbook.