Data is Risky Business: Thinking the Unthinkable
This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding…
Data Columns
Through the Looking Glass: The Context of Out-of-Tune Data
Back when I studied cello in college, I would seclude myself in a tiny practice room (we called them “cells,”…
The Data-Centric Revolution: Incremental Stealth Legacy Modernization
I’m reading the book Kill it with Fire by Marianne Bellotti. It’s a good book. Plenty of pragmatic advice, both…
Data Speaks for Itself: Data Littering
No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with…
Zen and the Art of Data Maintenance: Don’t Integrate, Don’t Separate – Indegrate
One of the most common and important dialogues is when the enterprise data architect expresses the need to integrate and…
The Art of Lean Governance: Root Out Waste in Data Reconciliation
In this column, we will discuss a common problem for data warehouses that are designed to maintain data quality and…
Tales & Tips from the Trenches: The Data Catalog
I have worked on a wide variety of data catalog projects lately, and I’d like to share some of my…
All in the Data: Ways to Improve Your Data
Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high…
Data Value Chain: Analysis-Enable Data Products
In 2021, there were many new use cases that came to life and became viable “data products” due to focus…
The Book Look: Data Literacy
With everyone talking about becoming more data literate, it’s a wonder that there are no books on data literacy –…