ETL/SSIS/Azure Data Factory

Technical Article

Real-Time SQL Server to BigQuery Streaming ETL using CDC

  • Script

CDC Changes: The script queries the CDC tables in SQL Server to retrieve the changes (inserts, updates, deletes) since the last sync. Each change is processed with a mapped operation type (INSERT, UPDATE, DELETE).
Real-Time Streaming to BigQuery: The captured changes are streamed directly to BigQuery using its real-time insert_rows_json method, avoiding the need for batch uploads via Google Cloud Storage.
Tracking Last Sync Time: The script tracks the last synchronization time and updates it after every successful sync, ensuring no data is missed.
Low Latency: By continuously querying the CDC tables and streaming the changes, the script achieves near real-time data synchronization.

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2024-11-13 (first published: )

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