Kafka Streams in Action, Second Edition
暫譯: 《Kafka Streams 實戰（第二版）》

Name: Kafka Streams in Action, Second Edition
Price: 2033 TWD
Availability: InStock
Author: Bejeck, Bill
ISBN: 1617298689

Bejeck, Bill

出版商: Manning
出版日期: 2024-05-28
售價: $2,140
貴賓價: 9.5 折 $2,033
語言: 英文
頁數: 446
裝訂: Quality Paper - also called trade paper
ISBN: 1617298689
ISBN-13: 9781617298684
相關分類: Message Queue

立即出貨 (庫存 < 3)

商品描述

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.

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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

實現 Apache Kafka 上的串流處理所需的一切？使用 Kafka Streams 和 ksqlDB 事件串流資料庫。

這本全新修訂的 Kafka Streams in Action 第二版擴展了內容，以涵蓋更多用於構建事件驅動應用程式的 Kafka 平台。您還將找到對 ksqlDB 的全面介紹，這是一個專為串流處理應用程式而設計的事件串流資料庫。

Kafka Streams in Action, Second Edition 教您如何在 Kafka 平台內實現串流處理。在這本易於理解的書中，您將探索真實世界的範例，以收集、轉換和聚合數據，處理多個處理器，並處理即時事件。您還將深入了解如何使用 ksqlDB 處理事件數據。這本書實用至極，最後涵蓋測試和運營方面的內容，例如監控、除錯，並給您機會探索幾個端到端的專案。

購買印刷版書籍可獲得 Manning Publications 提供的免費 PDF、Kindle 和 ePub 格式的電子書。

作者簡介

Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache KafkaR project.