Data virtualization platform
Better IT management solutions
Companies have attempted to break down silos for decades by copying data from many operational systems into central data repositories for analysis, such as data marts, warehouses, and lakes. This is both costly and error-prone. Most companies struggle to handle an average of 33 different data sources, many of which are different in structure and type and are frequently stuck in data silos that are difficult to locate and access.
With data virtualization, you can query data across many systems without having to copy and replicate data, which reduces costs. It also can simplify your analytics and make them more up to date and accurate because you’re querying the latest data at its source.. It’s critical to make sure that servers are running the right software and systems, and that they’re up to date and patched. The issues are amplified in a virtualized environment, and a poor physical infrastructure will jeopardise the virtual framework.