📄️ Introduction to Data Modelling
Data modelling is a crucial concept when it comes to managing databases such as MongoDB. It refers to the process of creating a data model for the data to be stored in a database. This data model defines how data is connected to each other and how they are processed and stored inside the system.
📄️ Embedding Documents
In MongoDB, one of the most powerful features is its ability to embed documents within other documents. This capability allows for complex data structures to be effectively represented within a single, easy-to-query document.
📄️ Referencing Documents
MongoDB, a popular NoSQL database, supports both denormalized (embedded) and normalized (reference) data models. In this tutorial, we will focus on the reference model, which involves storing the relationship information between data by including links or references from one document to another.
📄️ Schema Design Patterns
Before diving into the specifics of Schema Design Patterns, we should first understand what a Schema is. In MongoDB, a Schema is the organization or structure for a MongoDB collection. It defines the shape of the documents within that collection.