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Research Paper: Big Challenges in Data Modeling

By   /  December 20, 2012  /  884 Comments

This Research Paper  is Sponsored by:

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About the Research Paper

Download Research Paper NowThis report examines the biggest challenges faced by data modelers at both quantitative and qualitative levels. It discusses the results
of four different data modeling surveys in 2007, 2009, 2011, and 2012 taken by some of the leading industry practitioners and thought
leaders in online surveys. It then compares those results with three separate data modeling webinars from May, June, and July, 2012,
conducted by DATAVERSITY™.

Challenges such as business support, availability of data modelers with proper skill levels, effective data modeling tools, and the successful
use of Enterprise Data Models have been part of the conversation for years and are still seen as important issues by our survey
respondents. But since 2007, there has been a growing interest in adapting data modeling techniques to deal with new technologies
and opportunities, including Big Data and Unstructured Data, NoSQL and other non-relational platforms.

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