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Batman on Big Data

by Doug Laney  |  November 13, 2013  |  Submit a Comment

Batman on big data

Many vendors and pundits have attempted to augment Gartner’s original “3Vs” from the late 1990s with clever(?) “V”s of their own. However, the 3Vs were intended to define the proportional dimensions and challenges specific to big data. Other “V”s like veracity, validity, value, viability, etc. are aspirational qualities of all data, not definitional qualities of big data. Conflating inherent aspects with important objectives leads to poor prioritization and planning. For example, if you’re like many organizations, your terabytes of streamed sensor, log file or multimedia data may not have veracity (data quality) issues at all, but your megabytes of master data may be in total disarray. 

As author and analytics strategy consultant Seth Grimes observes in his InformationWeek piece Big Data: Avoid ‘Wanna V’ Confusion, “When a concept resonates, as big data has, vendors, pundits and gurus — the revisionists — spin it for their own ends….In my opinion, the wanna-V backers and the contrarians mistake interpretive, derived qualities for essential attributes.”

Also follow Doug on Twitter @Doug_Laney


Tags: 3vs  batman  big-data  bigdata  data  information  information-management  variety  velocity  veracity  volume  

Doug Laney
VP Research, Business Analytics and Performance Management
1 years at Gartner
25 years IT industry

Doug Laney is a research vice president for Gartner Research, where he covers business analytics solutions and projects, information asset valuation and management, "big data" strategy, and data-governance-related issues. ...Read Full Bio

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