Fr. 69.00

The Definitive Guide to MongoDB - A complete guide to dealing with Big Data using MongoDB

English · Paperback / Softback

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Description

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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.

List of contents

Part I: MongoDB BasicsCh. 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

Summary

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.

Product details

Authors Tim Hawkins, Davi Hows, David Hows, Peter Membrey, Peter et al Membrey, Eelc Plugge, Eelco Plugge
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 03.04.2013
 
EAN 9781430258216
ISBN 978-1-4302-5821-6
No. of pages 336
Dimensions 192 mm x 234 mm x 235 mm
Weight 629 g
Illustrations XX, 336 p. 25 illus.
Series aPress
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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