What is Data Modeling in MongoDB?
MongoDB Data modeling is the process of arranging unstructured data from a real-world event into a logical data model in a database.
There is no need to build a schema before adding data to MongoDB database because MongoDB is flexible. This means that MongoDB supports a dynamic database schema.
To create a perfect Data model in MongoDB, always balance application needs, database engine performance features, and data retrieval patterns.
When creating data models, always account for both the application uses of the data, such as queries, updates, and data processing, as well as the fundamental design of the data itself.
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.
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