具体描述
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.
作者简介
目录信息
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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读后感
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用户评价
看了除流和机器学习以外的章节，整体很推荐，而且是基于Spark2.2的。既细致的讲述了Scala和Python版的api，又有部署和调优相关的细节。英语不太好，经常Google和有道换着来。Spark的好书很少，这是其中一本。
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
评分入门，理解概念；真正要实现功能，还是得大神手把手带带
评分虽然是 Matei Zaharia 写的，但是这书明显过誉啊
评分API使用样例手册
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