What you'll learn
- Model documents around access patterns
- Write queries and aggregations
- Design effective indexes
- Decide between embedding and referencing
- Understand consistency trade-offs
- Know when NoSQL is the wrong tool
What the course covers
6 modules · 24 topics, taught in live sessions with your tutor
- Documents and collections
- Schema flexibility
- Embedding vs referencing
- Designing for queries
Requirements
- Basic programming experience
- Some exposure to databases is helpful
- A computer able to run a database locally
Description
NoSQL is not simply "a database without schemas". It trades one set of guarantees for another, and modelling for it requires knowing which queries you will run.
This course covers document modelling, indexing and aggregation, and is honest about when a relational database is the better choice.
Who this course is for
- Developers using a document database already
- Teams choosing a database for a new project
- Students comparing database paradigms
Teens & AdultsIntermediate
AI-Augmented Engineering
Work effectively with AI coding tools — prompting, reviewing, and knowing when not to trust them.
Teens & AdultsIntermediate
Back End and Server Development
Build the server side — APIs, databases, authentication and the request lifecycle.
_1783700296881.jpg&w=3840&q=75)
Teens & AdultsIntermediate
Complete Web Developer (Microsoft Stack)
Full-stack development on the Microsoft stack — C#, .NET, SQL Server and Azure.
_1783700786048.jpg&w=3840&q=75)
Teens & AdultsBeginner
Database fundamentals (Relational)
Design and query relational databases properly — schemas, SQL, joins and indexes.
_1783700473747.jpg)