Tales & Tips from the Trenches: Agile Data Transformation using MDOX
What is agility? I would define it as the ability to move quickly, fluidly, and efficiently in any direction. In…
data model
The Ballot Data Model – Part 2
This is the second of a two-part series (see part one) on the structure of the voting process, as carried…
The Ballot Data Model – Part 1
In Harris County, Texas (which is approximately the City of Houston), for the November 6, 2018 election, I was appointed…
Data Modeling is (Still) Data Governance
The title of this feature should grab the attention of data modeling people as well as data governance people and,…
Tales & Tips from the Trenches: Data Model Patterns for Agile Projects
This is the fourth column in my series about applying Agile techniques to data projects in our Tips and Tricks from the…
Three Levels of Models Versus Business
Three Levels of Model Abstraction Traditional entity-relationship (E-R) modeling recognizes three different levels of abstraction at which models are developed:…
The Business of Data: The Best of Donna
Note from the publisher: This is the final column of the latest TDAN.com series from our friend, Donna Burbank. Donna has…
Data Professional Introspective: Comparable Data Management (Part 4)
In our last column, Comparative Data Management Part 3, we explored two Data Management Maturity (DMM SM) Model data management…
Converting an Essential Model to a Real Database Design, Part 3
Introduction This is the third part of a three-part article intended to clarify the translation required between the essential view…
Data Modeling: Understanding and Being Understood
Originally published in TDAN.com in October 2006. From time-to-time TDAN.com shares oldie but goodie articles as Features that are relevant…