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
入門，理解概念；真正要實現功能，還是得大神手把手帶帶
评分是因為我的pdf版本問題嗎。很多講的很錶麵，如其他短評所說，api 使用手冊
评分深入淺齣 好書
评分不夠深入，主要針對high level的df，對low level的rdd介紹太少瞭
评分可做Spark參考手冊
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