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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
Languages
Concepts
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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

Spark practicals

In this section, we will create an account on Databricks' Community Edition and complete a hands-on exercise that will walk the reader through the basics of actions, transformations, and RDD concepts in general.

Signing up for Databricks Community Edition

The following steps outline the process of signing up for the Databricks Community Edition:

  1. Go to https://databricks.com/try-databricks:
  1. Click on the START TODAY button and enter your information:
  1. Confirm that you have read and agree to the terms in the popup menu (scroll down to the bottom for the Agree button):
  1. Check your email for a confirmation email from Databricks and click on the link to confirm your account:
  1. Once you click on the...
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