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(EBOOK PDF) The Definitive Guide to MongoDB A complete guide to dealing with Big Data using MongoDB 3rd Edition by Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins ISBN 1484211820 9781484211823 full chapters

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The Definitive Guide to MongoDB 3rd Edition A complete guide to dealing with Big Data using MongoDB David Hows Digital Instant Download

Author(s): David Hows, Eelco Plugge, Peter Membrey, Tim Hawkins
ISBN(s): 9781484211830, 1484211839
File Details: PDF, 4.93 MB
Year: 2015
Language: english
SKU: EB-5475050 Category: Tags: , , ,

The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB 3rd Edition by Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins – Ebook PDF Instant Download/Delivery: 1484211820, 9781484211823

Full download The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB 3rd Edition after payment

 

 

Product details:

ISBN 10: 1484211820

ISBN 13: 9781484211823

Author:  Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins 

The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB 3rd Edition: 

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.

 

The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB 3rd Edition Table of contents:

Chapter 1: Introduction to MongoDB
Chapter 2: Installing MongoDB
Chapter 3: The Data Model
Chapter 4: Working with Data
Chapter 5: GridFS
Chapter 6: PHP and MongoDB
Chapter 7: Python and MongoDB
Chapter 8: Advanced Queries
Chapter 9: Database Administration
Chapter 10: Optimization
Chapter 11: Replication
Chapter 12: Sharding

 

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