Scenario: Your company is merging data from multiple sources into a single database. How would you approach data cleansing to ensure consistency and accuracy across all datasets?
- Identify and resolve duplicates
- Implement data validation checks
- Perform entity resolution to reconcile conflicting records
- Standardize data formats and units
Ensuring consistency and accuracy across datasets involves several steps, including standardizing data formats and units to facilitate integration. Identifying and resolving duplicates help eliminate redundancy and maintain data integrity. Entity resolution resolves conflicting records by identifying and merging duplicates or establishing relationships between them. Implementing data validation checks ensures that incoming data meets predefined standards and quality criteria.
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