Considerations While Creating Data Model Design in MongoDB
Some important points to consider while creating a data model for MongoDB database are:
- Design the database according to user preference and common applications.
- Create separate collections and insert unique documents in them.
- Combine documents in a collection, if they will be used frequently together.
- Do joins while write, not on read.
- Use complex aggregation in database.
- Duplicate data (in a limit), as disc spaceis cheaper than computational time.
Data Modelling in MongoDB
Data modeling in MongoDB is the process of designing and creating the structure of collections and documents that will be stored in the database.
Maintaining data in an organized manner is very important for database efficiency. It also ensures data security, data accuracy, and better functioning. To maintain an organized database, it is important to learn data modeling.
In this article, we will go through MongoDB data modeling with examples and explore MongoDB’s features and capabilities.