--- title: "Google BigQuery Data Source Template" slug: "google-bigquery-data-source-template" updated: 2026-04-08T18:49:12Z published: 2026-04-08T18:49:12Z canonical: "docs.validatar.com/google-bigquery-data-source-template" --- > ## Documentation Index > Fetch the complete documentation index at: https://docs.validatar.com/llms.txt > Use this file to discover all available pages before exploring further. # Google BigQuery Data Source Template ## Overview The Google BigQuery data source template provides metadata ingestion, data type mappings, and profiling definitions for BigQuery connections. **Platform:** Google BigQuery **Connection Category:** Database **Template Category:** Marketplace ## What's Included ### Connection Configuration - Supports BigQuery connections - Identifier delimiters: ``` / ``` ### Data Type Mappings Includes mappings for BigQuery data types: - String types: `STRING` - Numeric types: `INT64`, `FLOAT64`, `NUMERIC`, `BIGNUMERIC` - Date/time types: `DATE`, `DATETIME`, `TIMESTAMP`, `TIME` - Boolean: `BOOL` - Binary: `BYTES` - Complex types: `ARRAY`, `STRUCT` - Other: `GEOGRAPHY`, `JSON` ## Metadata Ingestion Queries BigQuery's `INFORMATION_SCHEMA` views at the dataset and project level to discover datasets (schemas), tables, and columns. ## Installation ## Customization Common customizations: - **Project and dataset scope** — Filter to specific projects or datasets - **Partitioned tables** — Handle BigQuery's partitioning in metadata discovery - **Cost control** — Use execution scripts to set query bytes limits ## Related Articles - [What Is a Data Source Template?](/docs/what-is-a-data-source-template-overview) - [Metadata Ingestion Scripts — SQL Templates](/docs/metadata-ingestion-scripts-sql-templates)