Event Streams in Action: Unified log processing with Kafka and Kinesis
Alexander Dean, Valentin Crettaz
- 出版商: Manning
- 出版日期: 2019-05-30
- 售價: $1,575
- 貴賓價: 9.5 折 $1,496
- 語言: 英文
- 頁數: 344
- 裝訂: Paperback
- ISBN: 1617292346
- ISBN-13: 9781617292347
-
相關分類:
Message Queue
-
相關翻譯:
事件流實戰 (簡中版)
立即出貨 (庫存=1)
買這商品的人也買了...
-
Redis in Action (Paperback)$1,510$1,435 -
The C Programming Language, 2/e (美國原版)$2,540$2,413 -
Arduino 官方正版 Genuino 101$1,700$1,700 -
單元測試的藝術, 2/e (The Art of Unit Testing: with examples in C#, 2/e)$650$507 -
Mapping Experiences 看得見的經驗｜創造價值從經驗圖像化開始 (Mapping Experiences)$680$537 -
Raspberry Pi 3 Model B+ (UK製)$4,620$4,389 -
$990Kafka Streams in Action: Real-time apps and microservices with the Kafka Streaming API -
Reactive Application Development$1,650$1,568 -
Dependency Injection: Principles, Practices, Patterns ,2e$2,150$2,043 -
The Java Module System$1,660$1,577 -
Cloud Native Patterns (Paperback)$2,080$1,976 -
Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark$2,261$2,142 -
領域驅動設計：軟體核心複雜度的解決方法 (Domain-Driven Design: Tackling Complexity in the Heart of Software)$680$578 -
$1,330Behavior-Driven Development with Cucumber: Better Collaboration for Better Software -
這就是服務設計！｜服務設計工作者的實踐指南 (This Is Service Design Doing: Applying Service Design Thinking in the Real World)$880$695 -
晉昇軟體最高殿堂：Jenkins2 持續整合大師之路$600$474 -
Deep Learning with JavaScript: Neural Networks in Tensorflow.Js$1,650$1,568 -
Database Internals: A Deep Dive Into How Distributed Data Systems Work (Paperback)$2,185$2,070 -
JavaScript 技術手冊$560$442 -
Unit Testing Principles, Practices, and Patterns (Paperback)$1,870$1,777 -
Microservices Security in Action$1,980$1,881 -
Code Like a Pro in C# (Paperback)$2,150$2,043 -
$1,840Multithreaded JavaScript: Concurrency Beyond the Event Loop -
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy (Paperback)$2,185$2,070 -
OpenTelemetry 入門指南：建立全面可觀測性架構（iThome鐵人賽系列書）【軟精裝】$750$495
相關主題
商品描述
Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. The book begins with an architectural overview, illustrating how ULP addresses the thorny issues associated with processing data from multiple sources. It then guides the reader through examples using the unified log technologies Apache Kafka and Amazon Kinesis and a variety of stream processing frameworks and analytics databases.
Readers learn to aggregate events from multiple sources, store them in a unified log, and build data processing applications on the resulting event streams. As readers progress through the book, they learn how to validate, filter, enrich, and store event streams, master key stream processing approaches, and explore important patterns like the lambda architecture, stream aggregation, and event re-processing. The book also dives into the methods and tools usable for event modelling and event analytics, along with scaling, resiliency, and advanced stream patterns.
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)
《事件流行動》是一本基礎書籍，介紹了統一日誌處理（ULP）範式並提供在數據豐富環境中有效使用它的技巧。該書首先從架構概述開始，說明了ULP如何解決處理來自多個來源的數據所面臨的困難問題。然後，它通過使用統一日誌技術Apache Kafka和Amazon Kinesis以及各種流處理框架和分析數據庫的示例來引導讀者。
讀者將學習如何從多個來源聚合事件，將它們存儲在統一日誌中，並在生成的事件流上構建數據處理應用程序。隨著讀者在書中的進展，他們將學習如何驗證、過濾、豐富和存儲事件流，掌握關鍵的流處理方法，並探索重要的模式，如lambda架構、流聚合和事件重新處理。該書還深入介紹了用於事件建模和事件分析的方法和工具，以及可用於擴展性、可靠性和高級流模式的方法和工具。
購買印刷版書籍還包括Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。
