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Home / Blog / Real Life Issues With Big Data In The Enterprise – The Issues With Data Completeness

Real Life Issues With Big Data In The Enterprise – The Issues With Data Completeness

Posted on: 03-8-2011 in Big Data, Business Intelligence, CIO, Enterprise Data Modeling (EDM)
This entry is part 3 of 2 in the series Challenges When Dealing With Big Data

So completeness can mean a lot of different things.  In this case I am going to define a piece of data as being complete if the description of the data contains all of the available information about the item in question and if that description is captured in a manner which represents a true representation of that object in a context neutral manner.  In my experience,  this is the single biggest cause of the data issues in the enterprise.  In fact if this was done well the issues listed in the first article of this series would be much less likely to occur.

To read the complete article, you can find it on the Nebility Blog.

As always, you can reach me through the comments, at Nebility, on Twitter, LinkedIn or by using the Ask the Experts form.

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«Real Life Issues With Big Data In The Enterprise – The Issues With Data Consistency (Or Lack Thereof)

Paul Michaud

Paul Michaud is a co-founder and CEO of Nebility, an enterprise solutions company. Paul has been designing and building some of the world’s largest, most scalable and highest performing applications, for over 25 years. Immediately prior to Nebility, Paul was Global Executive IT Architect for Financial Services at IBM. To learn more about Paul check him out on LinkedIn using the button at the top of this author box.

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