Streaming Data: Understanding the real-time pipeline
Andrew Psaltis
- 出版商: Manning
- 出版日期: 2017-07-11
- 售價: $1,650
- 貴賓價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 216
- 裝訂: Paperback
- ISBN: 1617292281
- ISBN-13: 9781617292286
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相關分類:
Data Science
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商品描述
Many of the technologies discussed in the book - Spark, Storm, Kafka, Impala, RabbitMQ, etc. - are covered individually in other books. Throughout this book, readers will get a clear picture of how these technologies work individually and together, gain insight on how to choose the correct technologies, and discover how to fuse them together to architect a robust system.
Streaming Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book systematically builds up the blueprint for an in-the-moment system concept by concept. This book focuses on the big ideas of streaming and real time data systems rather than the implementation details.
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)
許多在本書中討論的技術 - Spark、Storm、Kafka、Impala、RabbitMQ 等等 - 在其他書籍中都有單獨介紹。在本書中，讀者將清楚了解這些技術的個別和整合運作方式，獲得如何選擇正確技術的洞察力，並發現如何將它們結合起來設計一個強大的系統。
《流式數據》介紹了流式和實時數據系統的概念和要求。讀者將建立一個基礎，了解即時數據系統的挑戰和解決方案，然後再選擇具體的技術。本書使用大量的圖表，系統地逐個概念建立了一個即時系統的藍圖。本書聚焦於流式和實時數據系統的大思想，而非實現細節。
購買印刷版書籍將包含 Manning Publications 提供的 PDF、Kindle 和 ePub 格式的免費電子書。
