Someone recently asked me about the origin of the Data Virtualization category name. From my unique perspective as the software marketer who drove the term and category’s successful adoption, I ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

At the start of 2015, Indiana University found itself saddled with a 15-year-old data warehouse that stored a limited set of operational data and wasn't being used for analytics in a concerted way.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...