Module 2 · Track A: Discover & Draft

2.1 · Discover the schema

Prompt

Connect to the data source and pull the information schema first. List the tables and key columns, and map how the core entities relate (the join keys). Don't run heavy scans yet.

You’ll see: Ana return a schema map — tables, keys, relationships — without guessing.

2.2 · Draft the documentation from the data

You don’t need a glossary to start — Ana drafts one.

Prompt

Profile a couple of the core tables (sampled — no full scans) and draft a data dictionary, a short business glossary, and a list of candidate metrics worth governing. For each metric, flag any definitional ambiguity a human should resolve.

You’ll see: drafted docs and a candidate-metric list — often surfacing a definition that needs a decision (a setup for Module 4’s reconciliation).

✅ Checkpoint

Ana mapped the schema — tables, keys, relationships — without heavy scans
You have a drafted data dictionary, glossary, and candidate-metric list
At least one metric was flagged as definitionally ambiguous

The Before/After Baseline Track A: First Governed Metric

​2.1 · Discover the schema

​2.2 · Draft the documentation from the data

​✅ Checkpoint

2.1 · Discover the schema

2.2 · Draft the documentation from the data

✅ Checkpoint