Trends Report

Reclaim Your Semantic Desert To Monetize Your Data

Use Machine Learning Data Catalogs To Automate Semantics At Scale

September 7th, 2018
With contributors:
Gene Leganza , Jun Lee , Elizabeth Hoberman

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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