MongoDB & Document Databases
Storing flexible JSON-like documents, with MongoDB.
Beginner
Start here. No background needed beyond school maths.
Get Started with PyMongo
Use •••• from Python: connect, insert and query documents, and work with the results. A good first step before building an app.
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MongoDB Shell (mongosh) Documentation
Connect to a database and run queries from the command line: insert, find, update and delete, with scripting and helper commands.
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Get Started with MongoDB Atlas
Create a free cluster in the cloud, load sample data and connect from your own code.
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MongoDB Manual
The official manual: documents, queries, indexes, aggregation pipelines and replication.
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Advanced
Once the basics are comfortable.
Building With Patterns: A Summary
A series that names common schema design patterns for documents (bucket, subset, computed and more) and shows when each one helps.
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MongoDB Aggregation Pipeline
Transform and summarise data in stages: match, group, sort, project and join, the way •••• handles reports and analytics.
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MongoDB Indexes
How indexes make queries fast and what they cost in writes and space: single, compound, text and geospatial indexes, and how to read query plans.
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MongoDB Data Modeling
How to decide between embedding and referencing, and the schema design patterns that keep •••• fast as data grows.
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