Read and write Google BigQuery data in SSIS with API Source + API Destination .
Use the Google BigQuery connector from Integration Hub to configure authentication, select endpoints, preview data, and map destination operations for writeback workflows.
Part of
ZappySys SSIS PowerPack
(100+ connectors & tasks).
⚡ Key Benefits
- Bi-Directional Connector Flow — Read with API Source and write with API Destination
- Authentication in UI — Configure connector auth directly in connection manager
- Endpoint Preview Workflow — Validate API calls before package execution
- Retry-Aware Runtime — Use retry settings for resilient API processing
- Mapped Writeback Actions — Apply insert, update, delete, and lookup patterns via mappings
📸 Visual Overview & Setup
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1. Drag API Source to Data Flow
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2. Drag API Destination to Data Flow
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3. Pick or Search Connector
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4. Map the Columns
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5. Select Endpoint and Preview data
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6. Destination Mapping & Execute
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🔧 Key Features
Connector Workflow
- Use API Source for extraction and API Destination for writeback in one package
- Configure connector endpoints and parameters using the SSIS UI
- Preview endpoint output before finalizing mappings
Authentication & Runtime Controls
- Configure connector authentication in connection manager
- Use retry mode and status code settings for resilient runs
- Run in SQL Server and Azure-SSIS Integration Runtime environments
💡 Common Use Cases
Common scenarios based on the landing-page flow:
- Data Export: Extract API data with API Source for downstream ETL.
- Writeback Integration: Push transformed rows to API endpoints via API Destination.
- Validation Before Execute: Preview endpoint output and adjust mappings.
- Operational Stability: Apply retry settings for transient API failures.
🎯 Summary
SSIS Google BigQuery Connector follows a connector-driven setup for read/write integration in SSIS.
Configure auth, preview endpoints, map fields, and execute resilient API pipelines without custom API coding.
Start Integrating with SSIS PowerPack
Includes connectors for APIs, databases, files, and cloud apps so you can build robust ETL pipelines without custom scripting.
Full functionality is FREE for development within Visual Studio