- joins and window functions
- indexes and explain plans
- transactions
- pgvector and ANN
Data Foundations / sql-databases
SQL and databases
Relational querying, indexing, transactions, OLTP/OLAP modeling, and vector search basics.
shellbackend needed later
Query-plan visualizer for joins, windows, indexes, and vector search.
- What is the core job of "SQL and databases"?
- Which common mistake would break a production implementation of this topic?
- Which inputs or limits must be validated before the interactive feature ships?
- What is the smallest test that proves the future implementation behaves correctly?
- When does this module really need backend compute, and when is a UI simulation enough?
- Start with one focused feature, not a full course inside one page.
- All public inputs must be typed, bounded, and covered by reject-case tests.
- If a model, dataset, or job is added, document source, license, limits, and fallback.
- The interaction must explain the topic rather than serve as decoration.