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 today’s digital era, the demand for real-time data insights is surging, driving organizations to innovate with advanced technologies. A key transformation is happening in data warehouse management, ...