Start here › The Inner Life of Data
Make the call
Twelve situations a university data team really faces. Decide what you'd do; each answer explains why, and points you to the lab that covers it. Your answers stay in this browser.
Scenarios
Keep going
Go deeper, one topic at a time
Data modelling
What the numbers mean, and the shapes that hold them: words and definitions first, then models, before any system.
Analytics engineering
How an agreed data model becomes tested, documented tables, with dbt.
Data quality and change
What goes wrong on a data platform, and what catches it: changes, data contracts and tests.
Enterprise architecture
How an organisation works, in layers, before you ask what its data should answer.
Master and reference data
The people and things a business is about, kept once and shared across its systems, and the lists that sort them.
