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Practical Big Data Analytics

You're reading from  Practical Big Data Analytics

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta

Table of Contents (16) Chapters

Title Page
Packt Upsell
Contributors
Preface
Too Big or Not Too Big Big Data Mining for the Masses The Analytics Toolkit Big Data With Hadoop Big Data Mining with NoSQL Spark for Big Data Analytics An Introduction to Machine Learning Concepts Machine Learning Deep Dive Enterprise Data Science Closing Thoughts on Big Data External Data Science Resources 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. Click on the START TODAYbutton 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 link to confirm your account, you'll be taken to a login screen where you can log on using the email address and password you used to sign up for the account:

  1. After logging in, click on Cluster to set up a Spark cluster, as shown in the following figure:
  1. Enter Packt_Exercise as the Cluster Name and...
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