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_posts/2025-09-22-building-scalable-data-warehouse-backup-system.md

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@@ -16,7 +16,7 @@ At its core, the pipeline performs incremental backups — copying only new or c
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To avoid data loss and reduce storage costs, we also implemented a safe deletion workflow. Files older than 90 days, successfully backed up, and no longer present in the source are tagged for lifecycle-based cleanup instead of being deleted immediately.
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This approach ensures reliability, efficiency, and safety: backups scale seamlessly from small to massive datasets, compute resources are right-sized, and storage is continuously optimized.
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![Open Data Warehouse Backup System diagram](..//files/backup_system_diagram.png)
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![Open Data Warehouse Backup System diagram](/files/backup_system_diagram.png)
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- Run monthly backups across all databases
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- Scale from small jobs to massive datasets
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- Handle incremental changes instead of full copies
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- Handle incremental changes instead of full copiesg
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- Safely clean up old data without risk of data loss
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