Data Integration Evolves into a Science as Much as an Art

As companies learn to embrace "big data" - terabytes and gigabytes of bits and bytes, strung across constellations of databases - they face a new challenge: making the data valuable to the business. To accomplish this, data needs to be brought together to give decision makers a more accurate view of the business.

"Data is dirty and it's hard work; it requires real skills to understand data semantics and the different types of approaches required for different data problems," Lawrence Fitzpatrick, president of Computech, Inc., tells DBTA. "It's too easy to see data as ‘one thing.' "

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