Kafka Streams in Action, Second Edition (MEAP V11)

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Everything you need to implement stream processing on Apache KafkaⓇ using Kafka Streams and the kqsIDB event streaming database. This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You’ll also find full coverage of ksqlDB, an event streaming database purpose-built for stream processing applications. In Kafka Streams in Action, Second Edition you’ll learn how to Design streaming applications in Kafka Streams with the KStream and the Processor API Integrate external systems with Kafka Connect Enforce data compatibility with Schema Registry Build applications that respond immediately to events in either Kafka Streams or ksqlDB Craft materialized views over streams with ksqlDB about the technology The lightweight Kafka Streams library provides exactly the power and simplicity you need for event-based applications, real-time event processing, and message handling in microservices. The ksqlDB database makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates. about the book Kafka Streams in Action, Second Edition teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You’ll also dive into processing event data with ksqlDB. Practical to the very end, it finishes with testing and operational aspects, such as monitoring, debugging, and gives you the opportunity to explore a few end-to-end projects.

Author(s): Bill Bejeck
Edition: 2
Publisher: Manning Publications
Year: 2023

Language: English
Pages: 578

MEAP_VERSION_11
Welcome
1_Welcome_to_the_Kafka_Event_Streaming_Platform
2_Kafka_Brokers
3_Schema_Registry
4_Kafka_Clients
5_Kafka_Connect
6_Developing_Kafka_Streams
7_Streams_and_State
8_Windowing_and_Time_Stamps
9_The_Processor_API
10_Further_up_the_Platform:_ksqlDB
11_Spring_Kafka
12_Testing