Data modeling constitutes a hierarchical abstraction process within business intelligence that organizes entities and attributes into Conceptual, Logical, and Physical schemas to facilitate data understanding and system implementation. Within the domain of Data Warehousing for analytics optimization, two specific structural mechanisms are defined: the Star Schema, which utilizes unnormalized dimensional tables surrounding a central fact table containing events and measures, and the Snowflake Schema, which employs normalized sub-dimensions to reduce storage redundancy at the cost of increased query complexity. These schemas serve as formal relational structures that connect descriptive dimensions with transactional facts via foreign keys to optimize read performance for decision-making processes.
Data modeling constitutes a hierarchical abstraction process within business intelligence that organizes entities and attributes into Conceptual, Logical, and Physical schemas to facilitate data unde…