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MongoDB Cookbook - Second Edition

You're reading from   MongoDB Cookbook - Second Edition Modern Database Management Made Easy

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785289989
Length 370 pages
Edition 2nd Edition
Tools
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Authors (2):
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Amol Nayak Amol Nayak
Author Profile Icon Amol Nayak
Amol Nayak
Cyrus Dasadia Cyrus Dasadia
Author Profile Icon Cyrus Dasadia
Cyrus Dasadia
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Starting the Server 2. Command-line Operations and Indexes FREE CHAPTER 3. Programming Language Drivers 4. Administration 5. Advanced Operations 6. Monitoring and Backups 7. Deploying MongoDB on the Cloud 8. Integration with Hadoop 9. Open Source and Proprietary Tools A. Concepts for Reference Index

Introduction


Hadoop is a well-known open source software to process large datasets. It also has an API for the MapReduce programming model, which is widely used. Nearly all the big data solutions have some sort of support to integrate them with Hadoop in order to use its MapReduce framework. MongoDB has a connector as well that integrates with Hadoop and lets us write MapReduce jobs using the Hadoop MapReduce API, process the data residing in the MongoDB/MongoDB dumps, and write the result to the MongoDB/MongoDB dump files. In this chapter, we will look at some recipes about the basic MongoDB and Hadoop integration.

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