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Apache Spark for Data Science Cookbook

You're reading from  Apache Spark for Data Science Cookbook

Product type Book
Published in Dec 2016
Publisher
ISBN-13 9781785880100
Pages 392 pages
Edition 1st Edition
Languages
Author (1):
Padma Priya Chitturi Padma Priya Chitturi
Profile icon Padma Priya Chitturi

Table of Contents (17) Chapters

Apache Spark for Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Big Data Analytics with Spark 2. Tricky Statistics with Spark 3. Data Analysis with Spark 4. Clustering, Classification, and Regression 5. Working with Spark MLlib 6. NLP with Spark 7. Working with Sparkling Water - H2O 8. Data Visualization with Spark 9. Deep Learning on Spark 10. Working with SparkR

Anaconda for cluster management


Anaconda for cluster management provides resource management tools which allow users to easily create, provision and manage bare-metal or cloud-based clusters. It enables the management of conda environments on clusters and provides integration, configuration and setup management of Hadoop services. This can be installed alongside enterprise Hadoop distributions such as Cloudera CDH or Hortonworks HDP and this is used to manage conda packages and environments across a cluster.

Getting ready

To step through this recipe, you need Ubuntu 14.04 (Linux flavor) installed on the machine. Python comes pre-installed. python --version gives the version of Python installed. If the version is 2.6.x, upgrade it to Python 2.7 as follows:

    sudo apt-get install python2.7

For installing Anaconda, please refer to the earlier Installing Anaconda on Linux recipe.

How to do it…

Let's look at the installation process for installing Anaconda for cluster management:

  1. You can create...

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