What is a major challenge for storage of big data with on-premises legacy data warehouse architectures?

One major challenge for storage of big data with on-premises legacy data warehouse architectures is that they cannot process the volume of big data. Legacy data warehouse architectures were not designed to handle the massive amounts of data that are generated and processed in today’s big data environments. As a result, the hardware and software used in these architectures may not be able to handle the volume of data, leading to slow processing speeds, system crashes, and other performance issues. This is one of the reasons why many organizations are now turning to cloud-based solutions for big data storage and processing.