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Found 3 Skills
Plan a migration onto MotherDuck. Use when moving from Snowflake, Redshift, PostgreSQL, dbt-heavy stacks, or lakehouse tooling and the key decisions are target pattern, cutover slices, validation, rollback, and native-versus-DuckLake posture.
Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to Google Cloud BigQuery. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.
Provisions BigQuery datasets, ingests staged Parquet files directly into native BigQuery tables by using bq load, and deploys already-translated views from local or Cloud Storage BigQuery Migration Service (BQMS) translation outputs. Use when provisioning target BigQuery datasets for warehouse migrations, batch loading staged Parquet files into native BigQuery tables by using bq load, auditing loaded table row counts, or deploying already-translated BigQuery views into a target dataset. Don't use for extracting source database catalog metadata, translating SQL queries, views, stored procedures, or DDL schemas to GoogleSQL (use bigquery-migration-sql-translator), exporting or unloading source database tables (such as Snowflake, Databricks, Teradata, or Oracle) to Parquet on Cloud Storage, or running post-migration cross-database data validation.