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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Table of Contents (12) Chapters Close

Preface 1. Big Data Analytics at a 10,000-Foot View 2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

Chapter 2. Getting Started with Apache Hadoop and Apache Spark

In this chapter, we will understand the basics of Hadoop and Spark, how Spark is different from MapReduce, and get started with the installation of clusters and setting up the tools needed for analytics.

This chapter is divided into the following subtopics:

  • Introducing Apache Hadoop
  • Introducing Apache Spark
  • Discussing why we use Hadoop with Spark
  • Installing Hadoop and Spark clusters
You have been reading a chapter from
Big Data Analytics
Published in: Sep 2016
Publisher: Packt
ISBN-13: 9781785884696
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