Document-Oriented Modeling
Document-oriented modeling is a data modeling approach used in NoSQL databases, where data is stored and organized as self-contained documents, typically in formats like JSON, BSON, or XML. It focuses on representing complex, hierarchical data structures within a single document, rather than normalizing data across multiple tables as in relational databases. This model is designed for flexibility, scalability, and handling semi-structured or unstructured data efficiently.
Developers should learn document-oriented modeling when working with applications that require high flexibility in data schemas, such as content management systems, real-time analytics, or e-commerce platforms with varying product attributes. It is particularly useful in scenarios where data relationships are not strictly defined or evolve rapidly, as it allows for easy schema evolution without costly migrations. This approach is ideal for use cases like storing user profiles, logs, or IoT data where each document can have different fields.