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Index
Cover Frontmatter 1. The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks 2. Installation 3. Introduction to Python and NumPy 4. Spark Architecture and the Resilient Distributed Dataset 5. The Power of Pairs: Paired RDDs 6. I/O in PySpark 7. Optimizing PySpark and PySpark Streaming 8. PySparkSQL 9. PySpark MLlib and Linear Regression Backmatter
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