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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用户评价
不够深入，主要针对high level的df，对low level的rdd介绍太少了
评分适合刷一遍快速上手~~进阶还是多读几遍High Performance Spark吧~~
评分作为入门读物很好，行文比较啰嗦，略显碎碎念，后面 Streaming、机器学习相关的章节就暂时没读了。
评分应该是最合适的spark入门读物，且有python代码，对scala新手也很友好
评分API使用样例手册
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