MongoDB with Python and advance indexes by Karan SIngh Bisht, Karan Singh Bisht
English | 2022 | ISBN: N/A | ASIN: B09VFFXRJ8 | 241 pages | EPUB | 0.59 Mb
How does MongoDB help you manage a huMONGOus amount of data collected through your web application? With this authoritative introduction, you'll learn the many advantages of using document-oriented databases, and discover why MongoDB is a reliable, high-performance system that allows for almost infinite horizontal scalability.
Learn how easy it is to handle data as self-contained JSON-style documents, rather than as records in a relational database.
Explore ways that document-oriented storage will work for your project
Learn how MongoDB's schema-free data model handles documents, collections, and multiple databases
Execute basic write operations, and create complex queries to find data with any criteria
Use indexes, aggregation tools, and other advanced query techniques
Learn about monitoring, security and authentication, backup and repair, and more
Set up master-slave and automatic failover replication in MongoDB
Use sharding to scale MongoDB horizontally, and learn how it impacts applications
Get example applications written in Python with advanced indexing
In advance indexes you will learn all about indexing and wildcard diffrent type of mongodb relationships are also covered with examples .
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