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

Autor Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins
en Limba Engleză Paperback – 9 dec 2015
The Definitive Guide to MongoDB, Third Edition, is updated for MongoDB 3 and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. The Third Edition also now includes Python.
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.
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Specificații

ISBN-13: 9781484211830
ISBN-10: 1484211839
Pagini: 350
Ilustrații: XXVII, 343 p. 96 illus.
Dimensiuni: 178 x 254 x 22 mm
Greutate: 0.65 kg
Ediția:3rd ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Public țintă

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Cuprins

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.- 

Notă biografică

Hailing from the U.K., Peter Membrey 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.

Caracteristici

The Definitive Guide to Mongo. DB, Third Edition, shows you how to install, model, and work with data in Mongo. DB, and write applications for Mongo.