Overview
- 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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About this book
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.
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Keywords
Table of contents (8 chapters)
Authors and Affiliations
About the authors
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