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Add `showcase-ecommerce-redshift` and `showcase-ecommerce-bigquery` datapacks
that mirror the Databricks showcase-ecommerce datapack with Redshift / BigQuery
as the warehouse platform.
- 15 warehouse datasets each (order_entry_db.order_entry + analytics schemas)
- Full governance parity: tags, glossary terms, ownership, domains, structured
properties, editable descriptions, lineage, siblings, schema fields
- 312 queries translated from Databricks SQL to each target dialect:
- Redshift: ARRAY_JOIN -> LISTAGG, DATE_FORMAT -> TO_CHAR, TO_DATE -> CAST AS DATE
(DATEADD / DATEDIFF / DATE_TRUNC / PERCENTILE_CONT ... WITHIN GROUP kept as-is)
- BigQuery: TIMESTAMP -> DATETIME, DATEADD -> DATETIME_ADD/SUB, DATEDIFF ->
DATETIME_DIFF, DATE_TRUNC arg reorder, TO_DATE -> DATE, DATE_FORMAT ->
FORMAT_DATETIME, ARRAY_JOIN -> STRING_AGG, PERCENTILE_CONT WITHIN GROUP ->
APPROX_QUANTILES, backtick-quoted table refs
- Container subTypes per platform: Redshift Database/Schema, BigQuery Project/Dataset
- Databricks-only metadata stripped (Unity storage_location, spark.* / delta.* configs)
- Container hashes regenerated per platform: no URN collisions when co-loaded
alongside the Databricks (or each other's) datapack
- Agent-context docs repointed from Snowflake prose/URNs to the target warehouse
- All cross-platform entities included (dbt, Looker, PowerBI, Tableau, Spark, etc.)
Validated: all 312 queries pass dialect validation against live BigQuery (dry-run)
and Redshift (EXPLAIN); both datapacks ingest into DataHub with zero failed MCPs,
and datasets / containers / queries / lineage all resolve.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What
Adds two standalone datapacks that mirror the Databricks
showcase-ecommercedatapack with Amazon Redshift and Google BigQuery as the warehouse platform.Each is self-contained (
01-definitions→05-context+index.json) and can be loaded independently or alongside the Databricks / Snowflake packs — no URN collisions.How it was derived
Generated from
showcase-ecommerce-databrickswith a platform transform:dataPlatform:redshiftdataPlatform:bigqueryARRAY_JOIN→LISTAGG,DATE_FORMAT→TO_CHAR,TO_DATE→CAST AS DATE)TIMESTAMP→DATETIME,DATETIME_ADD/SUB/DIFF/TRUNC,TO_DATE→DATE,DATE_FORMAT→FORMAT_DATETIME,ARRAY_JOIN→STRING_AGG,PERCENTILE_CONT … WITHIN GROUP→APPROX_QUANTILES, backtick-quoted tables)order_entry_db.order_entry.orders) — valid 3-part for all platforms.storage_location,spark.*/delta.*configs,unity_schema).queryUsageFeatures.Validation
acryl-stagingtables) and RedshiftEXPLAIN. Zero dialect failures.datahub ingest mcps(index order): zero failed MCPs.order_details← 11 upstreams) and query→subject references all resolve.🤖 Generated with Claude Code