Chief information security officers (CISOs) have increasingly incorporated cyber storage resilience into ...

Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...

Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...

AI, and agentic AI. He brings strong technical expertise in designing and delivering scalable, high-impact solutions to address complex challenges. In his current role as principal architect at a ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

A surge of excitement around AI, several pilots launched quickly, impressive demos, and then very little that actually makes ...

We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really ...

This is the first of a regular series of columns from Dave McComb. Dave’s column, The Data Centric Revolution, will appear every quarter. Please join TDAN.com in welcoming Dave to these pages and stop ...