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docs: clean up

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Masaki Yatsu
2025-11-09 22:53:08 +09:00
parent 36e3ee685d
commit c4db1b8cd2
1 changed files with 2 additions and 6 deletions
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README.md
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@@ -435,7 +435,7 @@ Demonstrates Salesforce data ingestion into an Iceberg data lake:
- **Orchestration** with Dagster or Apache Airflow - **Orchestration** with Dagster or Apache Airflow
- **Query** with Trino and visualize in Superset/Metabase - **Query** with Trino and visualize in Superset/Metabase
Key technologies: dlt, PyIceberg, Lakekeeper, Trino, MinIO Key technologies: dlt, Iceberg, Lakekeeper, Trino, MinIO
### E-commerce Lakehouse Analytics ### E-commerce Lakehouse Analytics
@@ -449,14 +449,10 @@ Full-stack e-commerce application with integrated lakehouse analytics:
- **Trino** queries across all data layers (raw, staging, marts) - **Trino** queries across all data layers (raw, staging, marts)
- **Superset/Metabase** for dashboards and business intelligence - **Superset/Metabase** for dashboards and business intelligence
Key technologies: Next.js, Payload CMS, dlt, dbt, Iceberg, Trino, Superset, PostgreSQL Key technologies: Next.js, Payload CMS, dlt, dbt, Iceberg, Lakekeeper, Trino, Superset, Metabase
Both projects demonstrate the medallion architecture (raw → staging → marts) and showcase how buun-stack components work together for production data workflows. Both projects demonstrate the medallion architecture (raw → staging → marts) and showcase how buun-stack components work together for production data workflows.
## Troubleshooting
- Check logs: `kubectl logs -n <namespace> <pod-name>`
## License ## License
MIT License - See LICENSE file for details MIT License - See LICENSE file for details