Remove Data Management Remove Data Validation Remove Datasets Remove ETL Method
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The Case for Automated ETL Pipelines

Ascend.io

However , the traditional methods of executing ETL are increasingly struggling to meet the escalating demands of today’s data-intensive environments. A more agile, responsive, and error-resistant data management process. These include features like automatic data validation, deduplication, and error logging.