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The BigQuery Batch connector captures data from your BigQuery datasets into Estuary collections by periodically running SQL queries and translating the results into JSON documents. It’s ideal for analytical workloads or datasets that don’t require continuous change tracking.

• Periodically executes queries from BigQuery tables or views and loads results into Estuary collections
• Supports cursor-based incremental updates for efficient polling and reduced reprocessing
• Customizable polling intervals (default: every 24 hours) for flexible scheduling
• Uses a Google Cloud Service Account with BigQuery User and Data Viewer roles for secure access
• Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance

💡 Tip: Specify a timestamp or monotonically increasing ID column as your cursor to reduce data volume and capture only new or updated records efficiently.