Beth Schultz

Data Virtualization: An Idea Worth Your Time

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SethBreedlove
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Data Doctor
Re: Creating a Framework
SethBreedlove   5/6/2014 10:32:16 PM
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Thanks Beth.  I strongly encourage everyone to read the article Beth linked us to: Federated Data Checks In,  It is very interesting and well written. (Though, I hope they changed the names because the kind of kick around the old CFO).  The report makes so many good point to go into, that it is difficult to pick out just one. 

WayneA.
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Re: Creating a Framework
WayneA.   5/6/2014 6:02:12 PM
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We did not talk about Data Virtualization during that session, but at Avalon, we view it as one of the biggest challenges facing a company attempting to become an information driven enterprise. We have worked with tools like Marklogic, Hadoop and other NoSQL databases, as well as applying practices like semantics, metadata managment and data governance, in the area of Data Virtualization.  

BethSchultz
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Re: Creating a Framework
BethSchultz   5/6/2014 5:20:03 PM
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Excellent advice, Wayne -- as you of course shared during the recent All Analytics Academy session you oversaw, Mastering Big-Data Management (available to listen to on-demand for anybody who might have missed a great lecture!). I recall you addressing the importance of defining business terms -- a "rule of one," right? But I don't recall you talking about data virtualization at all. Do you guys work with data virtualization at this point at all? 

WayneA.
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Creating a Framework
WayneA.   5/6/2014 5:05:56 PM
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Hi Beth,

Enjoyed your article. It makes some excellent points. To add to what you have already said their is some basic things an organization can do to make the process easier. 

The first thing is understand what the most important information for a business function need or wished it had for decision making. 

Next look for where they are getting that data. Then look across all of the organization and see who else is requesting the data with that they call by the same name. Where are they getting it. 

Notice that at this stage of the process I haven't gotten into the data definitions. But only identifying the most important data and the groups that have a vested interest in using it across the enterprise.

You can do this very quickly, and start to get the parties with a vested interest in a particular data set into the same room and drive to agreement on definitions (or at least agree to call similar things by distinct names. 

By doing this like to like comparison and data governance, a data virualization project will have a greater chance of success.

Avalon Consulting, LLC developed its Analytics Framework (http://www.avalonconsult.com/analytics-services;jsessionid=492A9E5DBF3625C0259A834A93A0AF11) offer to speed organzations through this process. 

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