Data modeling is the process of defining and organizing data for efficient storage, access, and use in databases crucial for modern data driven applications.
Each entity has unique attributes, like a customer’s name or order ID.
A customer places orders; an order contains products. Visualize connections with diagrams for clarity.
Data Model Type: conceptual, logical, or physical. This shapes the level of detail and abstraction you need.
Use keys and normalization to prevent duplicate data and boost performance.
Use ER diagrams for relationships and structure, ensuring all business rules are captured.
Review the model with stakeholders, check for data integrity, and optimize for performance and future growth.
Convert your model into a database schema and update it regularly as business needs and technology evolve.