5 ETL Best Practices You Shouldn’t Ignore
Monte Carlo
OCTOBER 5, 2023
Ensure data quality Even if there are no errors during the ETL process, you still have to make sure the data meets quality standards. High-quality data is crucial for accurate analysis and informed decision-making. increased vigilance in maintaining thorough documentation and metadata.
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