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Big Data: Dead By Definition, Alive In Practice
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dreamndiscover
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dreamndiscover,
User Rank: Apprentice
2/15/2014 | 10:28:41 PM
In search of data...the Big Data
As a beginner I was trying to undertsand bigdata. 

http://ingrid.zcubes.com/zcommunity/ViewBlog.aspx?mid=190906&src=h
simpleisbetter
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simpleisbetter,
User Rank: Apprentice
2/15/2014 | 2:31:21 PM
Re: Too traditional? (from Shane O'Neill)
Thanks for the post.  It's not a matter of Hadoop not being useful or traditiona tools being the only thing needed.  Clearly some use cases require new approaches and technologies.  Many successes have been seen and MANY more will come.  Rather, the issue is that companies can benefit and are benefiting from thinking about data management more broadly than just what the definition of big data would have them do.  I'm excited to see what organizations will do with structured, unstructured, new and traditional technologies as new data driven mindsets becomes the norm.  Moreover, that mindset is important because it's less about the technology than the foundational approaches in companies that start at and are supported from the top.
J_Brandt
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J_Brandt,
User Rank: Ninja
2/14/2014 | 10:55:22 AM
Meaningless Terms
Interesting piece.  I'd disagree though that just because the term has been "used so often that it's been stripped of tangible value" means what it represents is dead.  If that were true, "KM" and "cloud" and a dozen other terms and practices would be dead as well.  And they are very much alive indeed.
Shane M. O'Neill
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Shane M. O'Neill,
User Rank: Author
2/13/2014 | 6:29:56 PM
Too traditional?
I agree with your point about not overinvesting in hyped-up technology. But sticking with traditional data tools (Oracle/SQL Server) over more flexible tools (Hadoop/NoSQL) that can handle unstructured data seems short-sighted, no? As with most decisions, I guess it depends on your business needs. Assess and invest accordingly. Perhaps your business has no use for Hadoop ... for now.


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