The Book Look: Blockchainopoly
I am a data modeler…and plan on always being a data modeler. My latest book however, just released last week,…
Why Data Scientists are Interested in Blockchain
The blockchain gospel is evolving thanks to the huge noise surrounding cryptocurrencies. The technology started as a mere platform to…
Data is Like Contaminated Water
What if the water that flowed through the pipes in your house or apartment was contaminated and you knew that if…
Business Glossaries and Metadata: Business Glossary Value
I wrote an article a year ago about the Business Glossary Prime Directive for TDAN.com, which can be found here.…
Non-Relational Databases Have Relationships Too
Isn’t it ironic that a technology that bears the label of “schema-less” is also known for the fact that schema…
Data is Risky Business: I’m a Doctor, Jim …
In Star Trek, DeForest Kelley use to exclaim “I’m a Doctor Jim, not an engineer” or something similar whenever Captain…
Improving Patient Data Quality, Part 2: What is Evaluated in the PDDQ Framework
This is part two of a two-part article by Melanie Mecca and Jim Halcomb of the CMMI Institute about the…
Thoughts on Semantic Debt
Semantic debt arises when an organization’s data management systems are conceptually inadequate. We often see semantic debt in source-to-target mappings…
The Data-Centric Revolution: Data-Centric vs. Application-Centric
Data Centric vs. Software Wasteland Dave MccComb’s new book “Software Wasteland: How the Application-Centric Mindset is Hobbling our Enterprises” has…
The Data Forecast: Data Wrangling Basics
“Data Wrangling” — as a Data Management term, is about as good as it gets. Action-oriented describes what it actually…