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MongoDB Recipes: With Data Modeling and Query Building Strategies by Subhashini Chellappan at Abbey's Bookshop,
MongoDB Recipes: With Data Modeling and Query Building Strategies
— —
Subhashini Chellappan Dharanitharan Ganesan

MongoDB Recipes

With Data Modeling and Query Building Strategies

Subhashini Chellappan,  Dharanitharan Ganesan

$97.95   $88.05

Paperback

Not in-store but you can order this
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English
APress
16 December 2019
Database programming
Get the most out of MongoDB using a problem-solution approach. This book starts with recipes on the MongoDB query language, including how to query various data structures stored within documents. These self-contained code examples allow you to solve your MongoDB problems without fuss. MongoDB Recipes describes how to use advanced querying in MongoDB, such as indexing and the aggregation framework. It demonstrates how to use the Compass function, a GUI client interacting with MongoDB, and how to apply data modeling to your MongoDB application. You’ll see recipes on the latest features of MongoDB 4 allowing you to manage data in an efficient manner using MongoDB. What You Will Learn 

Work with the MongoDB document model 

Design MongoDB schemas 

Use the MongoDB query language

Harness the aggregation framework

Create replica sets and sharding in MongoDB

Who This Book Is ForDevelopers and professionals who work with MongoDB.                
By:   ,
Imprint:   APress
Country of Publication:   United States
Edition:   1st ed.
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   454g
ISBN:   9781484248904
ISBN 10:   1484248902
Pages:   247
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Chapter 1: MongoDB Features and Installation.- Chapter 2: CRUD Operations.- Chapter 3: Data Modelling.- Chapter 4: Indexing and Aggregation Framework.- Chapter 5: MongoDB Replication and Sharding.- Chapter 6: MongoDB Transaction.- Chapter 7: MongoDB Administration.- Chapter 8: MongoDB Security.  

Subhashini Chellappan is a technology enthusiast with expertise in the big data and cloud space. She has rich experience in both academia and the software industry. Her areas of interest and expertise are centered on business intelligence, big data analytics and cloud computing. Dharanitharan Ganesan is an MBA in Technology management with high level of exposure and experience in big data – Apache Hadoop, Apache Spark and various Hadoop ecosystem components. He has a proven track record of improving efficiency and productivity through the automation of various routine and administrative functions in business intelligence and big data technologies. His areas of interest and expertise are centered on machine learning algorithms, Blockchain in Bigdata, statistical modelling and predictive analytics.              

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