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MongoDB Recipes

With Data Modeling and Query Building Strategies

  • Book
  • © 2020

Overview

Authors:
  1. Subhashini Chellappan

    1. Bangalore, India

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    You can also search for this author in PubMed   Google Scholar

  2. Dharanitharan Ganesan

    1. Krishnagiri, India

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    You can also search for this author in PubMed   Google Scholar

  • Extensive coverage of MongoDB's query language including how to query various data structures stored within documents
  • Covers data modeling and query building strategies
  • Covers the latest features of MongDB 4

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xvii
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  2. MongoDB Features and Installation

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 1-24

  3. MongoDB CRUD Operations

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 25-77

  4. Data Modeling and Aggregation

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 79-104

  5. Indexes

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 105-126

  6. Replication and Sharding

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 127-155

  7. Multidocument Transactions

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 157-171

  8. MongoDB Monitoring and Backup

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 173-213

  9. MongoDB Security

    • Subhashini Chellappan, Dharanitharan Ganesan
    Pages 215-241

  10. Back Matter

    Pages 243-247
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Keywords

About this book

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 For
Developers and professionals who work with MongoDB. 


        


     



Authors and Affiliations

  • Bangalore, India

    Subhashini Chellappan

  • Krishnagiri, India

    Dharanitharan Ganesan

About the authors

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. 







            

Bibliographic Information

  • Book Title: MongoDB Recipes

  • Book Subtitle: With Data Modeling and Query Building Strategies

  • Authors: Subhashini Chellappan, Dharanitharan Ganesan

  • DOI: https://doi.org/10.1007/978-1-4842-4891-1

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)

  • Copyright Information: Subhashini Chellappan and Dharanitharan Ganesan 2020

  • Softcover ISBN: 978-1-4842-4890-4Published: 16 December 2019

  • eBook ISBN: 978-1-4842-4891-1Published: 13 December 2019

  • Edition Number: 1

  • Number of Pages: XVII, 247

  • Number of Illustrations: 45 b/w illustrations

  • Topics: Big Data, Open Source

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