本书于2017-05由Packt Publishing出版，作者Rishi Yadav，全书294页。从书名就可以看出这是一本讲解技巧的书。本书副标题：Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries。本书适合数据工程师，数据科学家以及那些想使用Spark的读者。阅读本书之前最好有Scala的编程基础。通过本书你将学到以下知识：

• Install and configure Apache Spark with various cluster managers & on AWS
• Set up a development environment for Apache Spark including Databricks Cloud notebook
• Find out how to operate on data in Spark with schemas
• Get to grips with real-time streaming analytics using Spark Streaming & Structured Streaming
• Master supervised learning and unsupervised learning using MLlib
• Build a recommendation engine using MLlib
• Graph processing using GraphX and GraphFrames libraries
• Develop a set of common applications or project types, and solutions that solve complex big data problems

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

本书的章节

1、Getting Started with Apache Spark
2、Developing Applications with Spark
3、Spark SQL
4、Working with External Data Sources
5、Spark Streaming
6、Getting Started with Machine Learning
7、Supervised Learning with MLlib - Regression
8、Supervised Learning with MLlib - Classification
9、Unsupervised learning
10、Recommendations Using Collaborative Filtering
11、Graph Processing Using GraphX and GraphFrames
12、Optimizations and Performance Tuning

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