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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本文链接: 【[电子书]Apache Spark 2.x Cookbook, 2nd Edition PDF下载】(https://www.iteblog.com/archives/2059.html)
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