A retail company is implementing an ETL process for its online sales. They want to ensure that even if the ETL process fails mid-way, they can quickly recover without data inconsistency. Which strategy should they consider?
- Checkpoints and Logging
- Compression and Encryption
- Data Archiving
- Data Sharding
To ensure quick recovery without data inconsistency in case of an ETL process failure, the retail company should consider using checkpoints and logging. Checkpoints allow the process to save its progress at various stages, and logging records all activities and changes. In case of failure, the process can resume from the last successful checkpoint, minimizing data inconsistencies and potential data loss.
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