Learn dimensional data, from first principles.

Why a curriculum.

Dimensional data is a class of data that most professional curricula treat as a footnote. Database textbooks mention dimensions briefly in their chapter on data warehousing. Analytics courses use the term without defining it. Data engineering bootcamps focus on pipelines and assume the categorical surface is somebody else's problem.

This curriculum starts where those resources stop. It assumes no prior familiarity. The Foundations module develops the topic from first principles. The Origins module traces the architectural shift that turns dimension management from a quietly tolerated tax into an explicit discipline.

The current curriculum.

Two modules. Foundations establishes what dimensional data is and what well-managed dimensional data looks like. Origins traces the conversational-analytics shift that makes dimension management a discipline rather than a project. Foundations is recommended before Origins but not required.

Reference.

The glossary defines every term used across this curriculum and the rest of the site. Anchorable and linkable from anywhere; the canonical place to look up a term encountered in any document.