The Definitive Guide to MongoDB

A complete guide to dealing with Big Data using MongoDB

2nd Edition

By David Hows , Eelco Plugge , Peter Membrey , Tim Hawkins

  • eBook Price: $34.99
  • Print Book Price: $49.99
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The Definitive Guide to MongoDB, Second Edition, shows you how to install, model, and work with data in MongoDB, and write applications for MongoDB using PHP and Python.

Full Description

  • ISBN13: 978-1-4302-5821-6
  • 336 Pages
  • User Level: Beginner to Advanced
  • Publication Date: December 8, 2013
  • Available eBook Formats: EPUB, MOBI, PDF

Related Titles

Full Description

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoDB authors Peter Membrey and Eelco Plugge, provide their expertise and experience in teaching you everything you need to know to become a MongoDB pro.

What you’ll learn

  • Set up MongoDB on all major server platforms, including Windows, Linux, OS X, and cloud platforms like Rackspace, Azure, and Amazon EC2
  • Work with GridFS and the new aggregation framework
  • Work with your data using non-SQL commands
  • Write applications using either PHP or Python
  • Optimize MongoDB
  • Master MongoDB administration, including replication, replication tagging, and tag-aware sharding

Who this book is for

Database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.

Table of Contents

Table of Contents

Part I: MongoDB Basics

Ch. 1: Introduction to MongoDB

Ch. 2: Installing MongoDB

Ch. 3: The Data Model

Ch. 4: Working with Data

Ch. 5: GridFS

Part II: Developing with MongoDB

Ch. 6: PHP and MongoDB

Ch. 7: Python and MongoDB

Ch. 8: Advanced Queries

Part III: Advanced MongoDB with Big Data

Ch. 9: Database Administration

Ch. 10: Optimization

Ch. 11: Replication

Ch. 12: Sharding


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