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Frank Kane's Taming Big Data with Apache Spark and Python

You're reading from   Frank Kane's Taming Big Data with Apache Spark and Python Real-world examples to help you analyze large datasets with Apache Spark

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787287945
Length 296 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Spark FREE CHAPTER 2. Spark Basics and Spark Examples 3. Advanced Examples of Spark Programs 4. Running Spark on a Cluster 5. SparkSQL, DataFrames, and DataSets 6. Other Spark Technologies and Libraries 7. Where to Go From Here? – Learning More About Spark and Data Science

What you need for this book

For this book you’ll need a Python development environment (Python 3.5 or newer), a Canopy installer, Java Development Kit, and of course Spark itself (Spark 2.0 and beyond).

We'll show you how to install this software in first chapter of the book.

This book is based on the Windows operating system, so installations are provided according to it. If you have Mac or Linux, you can follow this URL http://media.sundog-soft.com/spark-python-install.pdf, which contains written instructions on getting everything set up on Mac OS and on Linux.

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