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DynamoDB Cookbook

You're reading from   DynamoDB Cookbook Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784393755
Length 266 pages
Edition 1st Edition
Concepts
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Taking Your First Steps with DynamoDB FREE CHAPTER 2. Operating with DynamoDB Tables 3. Manipulating DynamoDB Items 4. Managing DynamoDB Indexes 5. Exploring Higher Level Programming Interfaces for DynamoDB 6. Securing DynamoDB 7. DynamoDB Best Practices 8. Integrating DynamoDB with other AWS Services 9. Developing Web Applications using DynamoDB 10. Developing Mobile Applications using DynamoDB Index

Accessing the DynamoDB data using AWS EMR


AWS Elastic MapReduce (EMR) has hosted Hadoop as a service from Amazon. As Hadoop has become one of the most important ETL/analytics tools these days, it is very important to know how to access the DynamoDB data from EMR so that we can use it for analytics. In this recipe, we are going to see how to access the DynamoDB data from EMR for analytics/querying.

Getting ready

To get started, you need to have a DynamoDB table created, and you should have data in it. Also, you need to have a secret key created, which will be used to connect to the EMR cluster using Putty or ssh on the UNIX system. In case you haven't, read the documentation at http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/EMR_SetUp_KeyPair.html.

This generated .pem key can be converted into a private key (.ppk), which can be used in Putty. You can refer to the following docs:

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