Five common data aggregation mistakes and how to fix them

Deploying a virtualized data platform can solve or reduce the impact of many of the mentioned data aggregation mistakes. By creating an interoperable virtual layer between data storage and processing, data will always be available for query without the need for time-consuming data migrations. Plus, since data analysis and sharing takes place in secure execution environments, the chance of data leakages during these processes is minimized.