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 ...

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

First, ETL frequently requires data engineers to write ... such as data replication lag, breaking schema updates, and data inconsistency between the sources and destinations, they have to spend ...