How data modeling changes in a lakehouse: schema-on-read, Iceberg partition evolution, and a virtual Medallion Architecture built as SQL views over open tables.
A star schema keeps each dimension in one flat table; a snowflake schema splits dimensions into normalized sub-tables. Compare joins, speed, and use cases.
Conceptual, logical, and physical data models explained with one e-commerce example: what each level contains, who owns it, and how one feeds the next.
Data modeling defines the entities, attributes, and relationships in your data. Learn the conceptual, logical, and physical levels and the main techniques.
