feat: add Jaffle Shop ELT pipeline example notebook#58
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feat: add Jaffle Shop ELT pipeline example notebook#58
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dbt-style e-commerce pipeline (raw -> staging -> intermediate -> marts) with 8 queries across 4 layers demonstrating: - Table dependency analysis and execution ordering - Backward/forward column lineage tracing - PII detection and metadata propagation - Impact analysis for schema changes - Ownership analysis across teams - Full pipeline visualization and JSON export
Notebook now shows all cell outputs (text, graphviz objects) so readers can browse results on GitHub without running locally.
Replace the synthetic ELT notebook with the real dbt Jaffle Shop project: - Copy original SQL model files (6 staging + 6 marts) from dbt-labs/jaffle-shop - Include __sources.yml, dbt_project.yml, and cents_to_dollars macro - Use clgraph's Jinja2 template_context to resolve ref(), source(), and macros - Document gaps found: SELECT * from CTEs not expanded, CTE names leak into table dependency graph
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Summary
examples/jaffle_shop_elt_pipeline.ipynb— a dbt-style e-commerce data pipeline example modeled after the Jaffle ShopTest plan
jupyter executemake check-examplesto confirm no regressions in other notebooks