In the framework's terms, what does variety refer to?

1. The definition reads: "Variety refers to data from multiple repositories, domains, or types." 2. The body section restates it as "the need to analyze data from multiple repositories, domains, or types", and explains how this used to be handled: by finding features that allowed datasets to be aligned and fused into a data warehouse. 3. The framework notes that automated fusion now "relies on semantic metadata, where the understanding of the data through the metadata allows it to be integrated". 4. Data arriving faster than it can be stored is velocity. Individual values changing is closer to what the framework calls volatility. Size beyond one machine is volume. 5. Variety is singled out for a reason worth remembering: the framework says volume and velocity make analytics faster and cheaper, but "it is the variety of data that allows analytic results that were never possible before". _Source: NIST SP 1500-1r2 "NIST Big Data Interoperability Framework: Volume 1, Definitions" (Oct 2019), p.8 section 2 "Terms and Definitions"_