How to Build a Robust Data Architecture for Scalable Business Growth
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth.…
data models
The AI Playbook: Providing Important Reminders to Data Professionals
Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers…
Knowledge Graphs vs. Property Graphs – Part I
We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new…
The Data-Centric Revolution: Toss Out Metadata That Does Not Bring Joy
As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t…
Data Management 20/20: Build a Managed Data Design Program
Join me in welcoming Robert Lutton, Sandhill Consultants and their new column ‘Data Management 20/20’ to the pages of TDAN.com.…
Databases Do Not Build Themselves
Unfortunately, a lot of databases start as a gleam in someone’s eye. Maybe it consists of a couple of tables needed…
Data Culture Through Continuous Improvement
Industry leading organizations recognize and manage data as a strategic asset. By ensuring high data quality, they are able to…
Paying Down Semantic Debt
In my last piece, “Where does semantic debt come from?,” I described the Semantic Debt Life-cycle. At a higher level,…
The Importance and Problems of Language For Information
Language is often ranked as one of the most remarkable creations of human beings. Our ability to symbolize, in turn,…
The Data-Centric Revolution: The Core Model at the Heart of Your Architecture
We have taken the position that a core model is an essential part of your data centric architecture. In this…