Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the sense that we are still early — too early — for the broader ...

The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now access critical systems from home offices, shared workspaces, ...

Whoa! For folks who’ve run a handful of nodes, validation can feel like a black-box ritual. My first instinct was to treat Bitcoin Core as sacred and opaque, but actually, wait—let me rephrase that: ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

I’m sure that you know an interesting story about dating. Finding that right person is not easy and the journey often ...

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 ...

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 ...

In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants ...

We are in the era of graphs. Graphs are hot. Why? Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades ...

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but ...

The term “data culture” is frequently used to describe a normative view about how an organization functions (or more precisely, should function) with respect to its data. The term is not particularly ...