Leveraging Machine Learning for Automated Data Mapping in ETL

In the realm of data integration and Extract, Transform, Load (ETL) processes, data mapping plays a crucial role in ensuring that data from source systems is correctly transformed and loaded into target systems. However, manual data mapping can be time-consuming, error-prone, and inefficient, especially in complex data integration scenarios. Leveraging machine learning for automated data […]

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