Overview
While often used interchangeably with data cleansing, Data Scrubbing sometimes refers specifically to the automated process of identifying and fixing errors in a database or file system. It is a critical component of maintaining data integrity over time, especially in large-scale storage systems.
Key Aspects
- Error Detection: Using checksums or other validation methods to find corrupted data.
- Automated Correction: Automatically fixing known error patterns.
- Consistency Checks: Ensuring data remains consistent across distributed systems.
Use Cases
- Maintaining database health.
- Preparing data for migration.
- Ensuring storage reliability in RAID or distributed file systems.