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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Definitive Guide to MongoDB/ by Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins.
其他題名:	A complete guide to dealing with Big Data using MongoDB /
作者:	Plugge, Eelco.
其他作者:	Hows, David.
面頁冊數:	XXVII, 343 p. 96 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Database management. -
電子資源:	https://doi.org/10.1007/978-1-4842-1182-3
ISBN:	9781484211823

The Definitive Guide to MongoDB = A complete guide to dealing with Big Data using MongoDB /
Plugge, Eelco.

The Definitive Guide to MongoDBA complete guide to dealing with Big Data using MongoDB /[electronic resource] :by Eelco Plugge, David Hows, Peter Membrey, Tim Hawkins. - 3rd ed. 2015. - XXVII, 343 p. 96 illus.online resource.

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 -- .

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.

ISBN: 9781484211823

Standard No.: 10.1007/978-1-4842-1182-3doiSubjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

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