How do data quality tools contribute to the long-term maintenance of data lakes?
- Completely avoid involvement in data lakes
- Ensure continuous monitoring and cleansing of data in data lakes
- Only address data quality issues once they become critical
- Rely on periodic manual audits for data lake maintenance
Data quality tools contribute to the long-term maintenance of data lakes by continuously monitoring and cleansing data, ensuring sustained data quality and reliability over time.
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