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Confusion Surfaces About the Data Lake


The growing hype around data lakes is causing lots of confusion in the information management space, according to Gartner Inc.

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Comments (3)
"The need for increased agility and accessibility for data analysis is the primary driver for data lakes," Andrew White, vice president and distinguished analyst at Gartner, said in a statement. "Nevertheless, while it is certainly true that data lakes can provide value to various parts of the organization, the proposition of enterprise-wide data management has yet to be realized."

Just like any data or information available within the organization, rules should be set in policy, procedures, and RACI types of guidelines that provide access and control to all data (not to be confused with information) as appropriate.

Raw data should be used only by certain roles within the organization and outside of the organization, for example: auditing, compliance, legal, and quality controls. Additionally, data lakes may be used for tracking social media events or security and privacy. Otherwise, most data lakes should not be used by the general corporate environment. Data transformation engines that allow for the data to be transformed into useful and contextual forms have greater meaning that provide respective users with transformed and derivative value.

Posted by Kimberly B | Wednesday, July 30 2014 at 9:32AM ET
Yes, data lakes can certainly provide value to various parts of any organization. What's important is being able to match up data from disparate sources and structuring unstructured data semantically.

This is where a great deal of value can come from data lakes like those described here; we've helped a number of our clients with matching up data from these disparate sources and make sense of the information.

Linda Boudreau

Posted by Linda B | Wednesday, July 30 2014 at 2:06PM ET
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