Data storage and modeling techniques
The act of developing a visual representation of an organization’s data and its relationships is known as data modeling. This representation, or model, assists developers and data architects in designing databases and systems that fit the needs of the organization. In data architecture, several data modeling strategies are routinely employed, and selecting the proper one might be important to the success of your analytics project. In this section, we will go through several data modeling strategies, their benefits and drawbacks, and how they can be used in various contexts.
Normalization and denormalization
Before diving into various modeling techniques, it is crucial to grasp the concepts of normalization and denormalization since they provide the foundation for understanding the entity-relationship model (ERM) and the star schema.
Normalization is a critical practice in database design that aims to eliminate redundancy and enhance...
