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Blog: Dan E. Linstedt

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December 23, 2007

Automorphic Data Models

I've recently begun research in to this area, and am calling this "Automorphic data models" rather than dynamic data warehousing, because I think the concept lends itself better to this kind of term. Dynamic Data Warehousing seems to be an overly-used slightly abused term in the industry, and raises quite a few questions as to how, and what it is. Vendors are also using this term to mean different things. We'll let the business and the vendors work out their definition of this term over the next few years. I'm going to write exclusively (for a while - in this section) on Automorphic Data Modeling. These entries are aimed at the researches and the scientific people in the audience.

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October 30, 2007

Thoughts about Dynamic Data Warehousing & Context

I've been discussing DDW for quite a while; I've started discussing the nature of dynamic structure change. There are larger considerations out there that we need to think about before embarking down these paths. However that said - there are some applications regarding architectural mining and dynamic structure changes which I wish to discuss here. For those of you in the intelligence sectors of government or research and defense this may be of interest (or not). For those of you in DW / BI traditional, the only benefits that dynamic structure change might bring to you is the ability to adapt faster (on the back end) to the dynamic changes of business. But then again, this technology is years away (for all we know ;)

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October 9, 2007

Context and Perspective

I sat down with my good friend Jeff Jonas yesterday and discussed the nature and notion of contextual processing. Jeff is a phenomenal individual, and much smarter than I ever hope to be, but all that aside, we had a wonderful conversation about the nature of processing streaming data (one piece at a time, or possibly multiple pieces in parallel, but separated) and how to focus the notions of context.

How is this related to B.I.?
It has everything to do with Business Intelligence, and how we "experience" and use our data sets/patterns within to make sense of our business, especially in an Operational B.I. world

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September 2, 2007

Automated Derterministic Contextual Coefficients

Interesting thoughts abound around the issues of determining context for a finite state model. If you've ever considered the metadata stored within a "data model" then you may be partial to the discussion here today. What I've got is an engine that starts with structural definitions, these definitions exists in a finite state, sometimes they openly declare hierarchies, other times, they hide the associations and relationships in the naming conventions. However one "true-ism" must reside: if a human cannot make "sense" of the structure, then it must be unusable. Therefore it is my belief that there usually (in most cases) is a finite state of context which can be automatically determined based on the structure through a series of mathematical, statistical, and ontological approaches.

These techniques are necessary in discovering the potential of unstructured data sets within DW2.0.

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August 14, 2007

Welcome to Thought Experiments

Every once in a great while I have a small idea bubbling around in my head. These ideas are things that seem like interesting points of view and make themsleves known either in the twighlight hours, or just before I'm about to fall asleep. Anyhow they are interesting ideas, and I am choosing to share them as they occur. They could be anything from observations to idiosyncratic comments, some may be useful while others will (hopefully) be forgotten. I ask you now, that if you like an idea that you spur the conversation by offering a comment or two, who knows? Maybe, just maybe it will be good....

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