具體描述
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.
著者簡介
圖書目錄
2、Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples
3、Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames
4、Understand how Spark runs on a cluster
5、Debug, monitor, and tune Spark clusters and applications
6、Learn the power of Structured Streaming, Spark’s stream-processing engine
7、Learn how you can apply MLlib to a variety of problems, including classification or recommendation
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讀後感
評分
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用戶評價
作為入門讀物很好，行文比較囉嗦，略顯碎碎念，後麵 Streaming、機器學習相關的章節就暫時沒讀瞭。
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API使用樣例手冊
评分這本書可以解釋 Spark 可以做什麼，但不能解釋 Spark 是怎麼做的，更多的細節還需要藉助其他資料
评分可做Spark參考手冊
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