March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Preface
Apache Spark is an open source, parallel processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers.
This book will help you implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. You will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques to test, immunize, and parallelize Spark jobs.
This book covers the installation and setup of PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will learn how to source data from all ...
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