Phase 2: Enterprise Data Engineering · 55 min · Python · PostgreSQL · SQL

Schema Recovery & Undocumented Databases

The DBA left five years ago. The schema is in your hands.

What you will learn

Reverse-engineer undocumented databases using information_schema introspection
Discover foreign key relationships without constraints: column matching, data overlap, join validation
Write recursive CTEs for hierarchical data: org charts, bill-of-materials, category trees
Use window functions for data profiling: LAG/LEAD, ROW_NUMBER, PERCENTILE_CONT

Objective

What you'll learn

This lesson takes approximately 55 min. By the end, you will be able to:

Reverse-engineer undocumented databases using information_schema introspection
Discover foreign key relationships without constraints: column matching, data overlap, join validation
Write recursive CTEs for hierarchical data: org charts, bill-of-materials, category trees
Use window functions for data profiling: LAG/LEAD, ROW_NUMBER, PERCENTILE_CONT

The Problem

You arrive at the client site. They have a PostgreSQL database in production for 12 years. The original DBA left five years ago. There's no schema documentation, no ER diagram, and 340 tables with names like tbl_proc_v2_final. Your RAG system needs to query this database. This lesson teaches the systematic approach to schema recovery.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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