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Build a production BigQuery Medallion Lakehouse with Google Cloud Dataform: incremental SQLX models, late-arrival deduplication, quarantine tables, assertions, and release workflows.
Build a reliable BigQuery transformation layer with Medallion architecture, Dataform or dbt, incremental processing, deduplication, and practical data-quality controls.
A practical, end-to-end GCP data engineering lab covering Cloud Storage, BigLake external connections, partitioned and clustered BigQuery, materialized views, Time Travel, and authorized views.
A step-by-step architectural guide to core Google Cloud data engineering storage and access primitives. From Cloud Storage to partitioned BigQuery, materialized views, and authorized views.
