Chapter 1, Configuring Kafka, explains the basics for getting started with Apache Kafka. It discusses how to install, configure, and run Kafka. It also discusses how to make basic operations with Kafka brokers and topics.
Chapter 2, Message Validation, explores how to program data validation for your enterprise service bus, covering how to filter messages from an input stream.
Chapter 3, Message Enrichment, looks at message enrichment, another important task for an enterprise service bus. Message enrichment is the process of incorporating additional information into the messages of your stream.
Chapter 4, Serialization, talks about how to build serializers and deserializers for writing, reading, or converting messages in binary, raw string, JSON, or AVRO formats.
Chapter 5, Schema Registry, covers how to validate, serialize, deserialize, and keep a history of versions of messages using the Kafka Schema Registry.
Chapter 6, Kafka Streams, explains how to obtain information about a group of messages – in other words, a message stream – and how to obtain additional information, such as that to do with the aggregation and composition of messages, using Kafka Streams.
Chapter 7, KSQL, talks about how to manipulate event streams without a single line of code using SQL over Kafka Streams.
Chapter 8, Kafka Connect, talks about other fast data processing tools and how to make a data processing pipeline with them in conjunction with Apache Kafka. Tools such as Apache Spark and Apache Beam are covered in this chapter.
