Big Data Governance: Harnessing the Horses

Big Data Governance: Harnessing the Horses

Big Data Governance: Harnessing the Horses

A friend sent me a note the other day celebrating the year of the Rooster. One website (I make no claim for its authority and authenticity!) quotes Chinese Astrologer Laura Lau as saying “Rooster years are rarely ever boring, so it’ll be a year with a lot of action … “The Rooster favors those who put in the hard work and stick to a plan.” So, no change for data Managers then.

Actually, as I look around this year, for data Managers it’s not so much a matter of a plan and hard work, and more a question of how to handle the action. In fact, it feels like that circus act where the glamourous rider is trying to ride two horses at once. Only the two horses are very different … a carthorse and a thoroughbred.

The carthorse, of course, is “traditional” data. The data that operational systems generate and process by and feed, often, into data warehouses. The thoroughbred is Big Data, feeding new style analytics and the subject of all kinds of fascinating new technologies. The challenge of riding the two horses at once is that that the one is already in harness, and the other is running wild – or at least is trying to.

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In an interesting blog post in 2010, Winston Chen (now founder and CEO of “Voice Dream”, a company doing great work producing  “voice-based mobile apps for people who prefer to listen”) wrote an interest blog tracing Data Governance back to the 1960’s. A more general view is that the formal discipline emerged with the new millennium.



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