When and why to flatten your data : denormalization techniques, trade-offs, and how virtual denormalization via views avoids physical data duplication.
How to optimize data models for analytical queries instead of transactional workloads : denormalization strategies, wide tables, and pre-aggregation patterns.
Learn Slowly Changing Dimension types 1-3 with concrete examples and a decision guide for choosing the right SCD type for your use case.
Master dimensional modeling with facts, dimensions, and grains : the foundation of analytical data warehousing and lakehouse design.
