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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

Hands-on with CDH

In this section, we will utilize the CDH QuickStart VM to work through some of the topics that have been discussed in the current chapter. The exercises do not have to be necessarily performed in a chronological order and are not dependent upon the completion of any of the other exercises.

We will complete the following exercises in this section:

  • WordCount using Hadoop MapReduce
  • Working with the HDFS
  • Downloading and querying data with Apache Hive

WordCount using Hadoop MapReduce

In this exercise, we will be attempting to count the number of occurrences of each word in one of the longest novels ever written. For the exercise, we have selected the book Artamène ou le Grand Cyrus written by Georges and...

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