
The Definitive Guide to MongoDB
A complete guide to dealing with Big Data using MongoDB
APress
2nd Edition
Published on 13. November 2013
Book
Paperback/Softback
XX, 336 pages
978-1-4302-5821-6 (ISBN)
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.
More details
Edition
2nd ed.
Language
English
Place of publication
Berkeley
United States
Target group
Popular/general
Edition type
Revised edition
Illustrations
25 s/w Abbildungen
XX, 336 p. 25 illus.
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 19 mm
Weight
629 gr
ISBN-13
978-1-4302-5821-6 (9781430258216)
DOI
10.1007/978-1-4302-5822-3
Schweitzer Classification
Other editions
Additional editions

David Hows | Eelco Plugge | Peter Membrey
The Definitive Guide to MongoDB
A complete guide to dealing with Big Data using MongoDB
E-Book
11/2013
2nd Edition
APress
€52.99
Available for download
Persons
Hailing from the U.K., strongPeter Membrey/strong has worked for Red Hat, holds a RHCE certification, and worked and taught at a number of educational institutions since the beginning of his career. He knows what Linux users like and need, and hopes that CentOS will get the kudos it deserves. He lives in Hong Kong and is teaching and consulting on all matters to do with Linux Enterprise networking, while studying for his master's degree.
Content
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