Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library.
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應該是最閤適的spark入門讀物，且有python代碼，對scala新手也很友好
评分雖然是 Matei Zaharia 寫的，但是這書明顯過譽啊
评分不夠深入，主要針對high level的df，對low level的rdd介紹太少瞭
评分看瞭除流和機器學習以外的章節，整體很推薦，而且是基於Spark2.2的。既細緻的講述瞭Scala和Python版的api，又有部署和調優相關的細節。英語不太好，經常Google和有道換著來。Spark的好書很少，這是其中一本。
评分目測是豆瓣上第一個 "讀過" 這本書的人吧...
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