• Facets (new session)
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• Settings
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  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Ready, Set, Go - How Fast Is Your Data?     Goto   Sponge   NotDistinct   Permalink

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Data agility has emerged as one of the hottest business topics today, with people weighing in on its importance, to everyone from the CIO to the sales team. And what is data agility, exactly? I think one of the best ways to define data agility is to think of it the same way you think of human physical agility. It’s about being able to move and change quickly in order to adapt to what’s going on in your environment. To achieve this ability, you need to maintain a level of fitness that makes fast responses and sudden shifts possible. I believe that’s how it works with data, too.