Summary
Data management has relied heavily on the logical and physical aspects of data and systems. The result? Rigid, brittle systems that don’t support multiple use cases or adapt quickly to new business scenarios. Adding semantics to the data equation means data isn’t stuck waiting to be monetized from the lake — it is ready for activation in the digital business. This report breaks down how data and information architects can hydrate the semantic desert and invest in technology that ensures data lake and big data fabric investments achieve intended business outcomes.
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