docs: clean up
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@@ -435,7 +435,7 @@ Demonstrates Salesforce data ingestion into an Iceberg data lake:
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- **Orchestration** with Dagster or Apache Airflow
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- **Query** with Trino and visualize in Superset/Metabase
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Key technologies: dlt, PyIceberg, Lakekeeper, Trino, MinIO
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Key technologies: dlt, Iceberg, Lakekeeper, Trino, MinIO
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### E-commerce Lakehouse Analytics
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@@ -449,14 +449,10 @@ Full-stack e-commerce application with integrated lakehouse analytics:
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- **Trino** queries across all data layers (raw, staging, marts)
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- **Superset/Metabase** for dashboards and business intelligence
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Key technologies: Next.js, Payload CMS, dlt, dbt, Iceberg, Trino, Superset, PostgreSQL
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Key technologies: Next.js, Payload CMS, dlt, dbt, Iceberg, Lakekeeper, Trino, Superset, Metabase
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Both projects demonstrate the medallion architecture (raw → staging → marts) and showcase how buun-stack components work together for production data workflows.
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## Troubleshooting
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- Check logs: `kubectl logs -n <namespace> <pod-name>`
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## License
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MIT License - See LICENSE file for details
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