Spark权威指南：让大数据处理更简单（中文版）第一部分

Spark: The Definitive Guide: Big Data Processing Made Simple English | Oct. 2017 | ISBN-10: 1491912219 | 450 pages | PDF | 4.46 Mb Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of this 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 st ructured 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. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets-Spark's core APIs-through worked examples Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Spark's Structured Streaming and MLlib for machine learning tasks Explore the wider Spark ecosystem, including SparkR and Graph Analysis Examine Spark deployment, including coverage of Spark in the Cloud 自己真金白银淘宝翻的那种，保持了原文排版，但翻译质量那啥。。。对照起来看还是很能提高效率的，有需要的童鞋赶快下载了，多交流了。 共3个part