whetstone_DSL/sprint72_plan.md

Sprint 72 Plan: Data Engineering and Analytics Semantics Pack

Context

Data workflows rely on schema, lineage, and transformation guarantees. Sprint 72 adds semantics for ETL/analytics/transformation-heavy systems.

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Goals

1. Model dataset schema + lineage semantics
2. Preserve transformation intent across language and engine changes
3. Add data quality checks to migration acceptance
4. Support reproducible data pipeline transpilation audits

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Steps

Step 949: Data lineage canonical model (12 tests)

Step 950: Transformation intent packet schema (10 tests)

Step 951: Schema evolution compatibility checker (10 tests)

Step 952: Deterministic data-sample replay runner (10 tests)

Step 953: Aggregation/window semantics preservation checks (10 tests)

Step 954: Data quality gate integration (8 tests)

Step 955: whetstone_analyze_data_pipeline_semantics MCP tool (8 tests)

Step 956: whetstone_verify_data_pipeline_migration MCP tool (8 tests)

Step 957: Analytics migration dossier template (8 tests)

Step 958: Sprint 72 integration summary + regression (8 tests)

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Quality Rule

• Schema or lineage uncertainty requires explicit reviewer sign-off.