Data Engineering Blog

Explores various data modeling approaches including top-down and bottom-up methodologies, moving from conceptual to logical to physical models. Covers key techniques like dimensional modeling with star and snowflake schemas, Data Vault modeling for handling big data and changing requirements, Anchor modeling for schema flexibility, bitemporal modeling for historical data tracking, and Entity-Centric Data Modeling. Discusses common data modeling problems such as embedded business rules, incorrect entity identification, system interface complexity, and lack of data standardization.

Data Modeling – The Unsung Hero of Data Engineering: Modeling Approaches and Techniques (Part 2)