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After extraction, the data is validated, verified, and cross-checked against predefined rules and formats to ensure accuracy and consistency. This step helps identify any errors, discrepancies, or missing information in the captured data. Automated systems are also equipped to handle exceptions. trillion U.S.
Use Error Logging Establish a uniform logging format with details like timestamps, error codes, messages, impacted data, and the specific ETL step involved. Automate the Process Once your ETL pipeline is created, you can automate it to streamline company-wide data integration. Sign up for a demo or contact us.
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