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PySpark Recipes

Overview of attention for book
Cover of 'PySpark Recipes'

Table of Contents

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