Taming Unstructured Data with Cognitive Computing

(Lightspring/Shutterstock.com) Contending with unstructured data is no longer a priority reserved for the most well-financed, IT-savvy organizations, like Google and Facebook. As the world’s data continues to increase at nearly exponential rates, the reality is the majority of that data is unstructured and incongruent—in its native form—with time-honored tables and SQL-based modeling. The prominence of a critical confluence of technological forces including mobile, social, and the cloud has produced a situation in which the majority of unstructured data is created by consumers. Consequently, traditional methods of managing, transforming, analyzing and, in some instances, even applying that data are no longer sufficient when incorporating such external, unstructured new data into the enterprise. Time-sensitive data simply cannot wait for conventional preparation processes and ETL for historic business intelligence analysis. Instead, a new…

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