A Step Ahead: IoT Communication – How Vast Data Is Moved
To fully understand IoT, one should know what the internet is first. Simply speaking, the internet is the abbreviation of…
Data Architecture Columns
Data Architecture Columns
Data Leader’s Playbook for Data Mapping
I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would…
Through the Looking Glass: More Metaphors and LLMs
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
A Step Ahead: IoT Sensors – Where Vast Data Comes From
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
Crossing the Data Divide: Metrics Stores Remind Me That Data Work Is Hard
If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent,…
The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
Several years ago, as part of some strategic marketing, we decided to target certain companies and industries. The thinking was…
A Step Ahead: IoT Data Characteristics — Seven Vs
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing,…
Data-Centric: How Big Things Get Done (in IT)
I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then.…
The Data-Centric Revolution: Best Practices and Schools of Ontology Design
I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and…