Handling massive amounts of data in real-time has become a priority for businesses in almost every industry. Traditional ETL (Extract, Transform, Load) processes, which rely on batch processing, are ...

And before that data is ready for analysis, it needs to be combined, cleaned, and normalized—a process otherwise known as extract, transform, load (ETL)—which can be laborious and error-prone.

In the rapidly evolving digital marketplace, the integration of machine learning (ML) into Extract, Transform, Load (ETL) ...