Tag: database design

Every database, data warehouse, and data lakehouse starts with the same question: how should this data be organized? Dat...

Most data teams jump straight from a stakeholder request to creating database tables. They skip the planning steps that ...

Both star schemas and snowflake schemas are dimensional models. They both organize data into fact tables (measurable eve...

Traditional data modeling assumed you controlled the database. You defined schemas up front, enforced foreign keys at wr...

Dimensional modeling is the most widely used approach for organizing analytics data. Developed by Ralph Kimball, it stru...

Dimensions change. A customer moves cities. A product gets reclassified. An employee changes departments. How your data ...

The data model that runs your production application is almost never the right model for analytics. Transactional system...

Normalization is the first rule taught in database design. Eliminate redundancy. Store each fact once. Use foreign keys....

Dimensional modeling works well when your source systems are stable and your business questions are predictable. But wha...