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Dan Power

Greetings to all of my friends who work in the area of computerized decision support. This blog is a way for me to share stories from my encounters related to decision support, to comment on industry events, and to comment on other blogger's comments, especially those of my friends on the Business Intelligence Network. I'll try to state my opinions clearly and provide an old professor's perspective on how computers and information technology are changing the world. Decision making has always been my focus, and it will be in this blog as well. Your comments, feedback and questions are welcomed.

About the author >

Daniel J. "Dan" Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa and the editor of DSSResources.com, the Web-based knowledge repository about computerized systems that support decision making; the editor of PlanningSkills.com; and the editor of DSS News, a bi-weekly e-newsletter. Dr. Power's research interests include the design and development of decision support systems and how these systems impact individual and organizational decision behavior.

Editor's Note: More articles and resources are available in Dan's BeyeNETWORK Expert Channel. Be sure to visit today!

This past week (Aug. 20-22, 2013), I attended a great conference in San Jose, CA on NoSQL technologies.  The URL is http://nosql2013.dataversity.net/ .

Tony Shaw, President of Dataversity, and Dan McCreary, Principal Kelly-McCreary & Associates, created a stimulating agenda.  Overall the presenters were knowledgeable, the vendors were excited and helpful and the facilities, support and food were excellent.

I prefer the term Post-relational databases rather than NoSQL, but ... 

The talks and sessions discussed four product categories.  McCreary identified them as 1) Key-Value databases, 2) Document databases, 3) Graph databases, and 4) Column-Family databases.

Database technology must fit the purpose of the database and the data.  The relational data model and relational database remain the best for transaction databases.  New data models and new DB technologies are useful for decision support and other data storage, analysis and retrieval needs.

Posted August 24, 2013 8:54 AM
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