The challenge
- Move BigQuery datasets into Azure Data Lake Gen2 on a recurring schedule.
- Avoid repeatedly scanning and copying unnecessary data from large tables.
- Handle secure cross-cloud authentication.
Our approach
- Used ADF's BigQuery connector with Google service account authentication.
- Secured credentials with Azure Key Vault where appropriate.
- Landed raw output in ADLS by dataset, table, and run date.
- Applied partition-aware / watermark-based incremental extraction for large tables.
Results
Cross-cloud
BigQuery → ADLS pipeline
Cost-aware
Partition / watermark loads
Repeatable
Recurring schedule
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