There’s a piece of advice you won’t hear from your bank. Not because they don’t know — their security teams absolutely do — but because saying it out loud is…
There’s a growing narrative that AI can now scan codebases, find subtle bugs, and even uncover vulnerabilities that humans have missed for years. You’ll see this framed as progress. Better…
In a previous post, I wrote about the current narrative around AI agents “coding for hours” and what’s actually going on behind the scenes. If you haven’t read that, it’s…
There’s a growing narrative that AI agents can now “code for hours” and build meaningful applications with minimal human involvement I’ve spent a bit of time looking into this, and…
All of the main LLMs are pretty good at generating SQL, and they also have a pretty good understanding of the Oracle Data Dictionary. This means that if you can…
Four Model In a previous article I looked at why object-relational impedance was still a thing, and why we need both ways of holding data – object model to facilitate…
Introduction The enmity between developers and DBAs is both legendary and persistent. Developers get frustrated when DBAs take so long to do the simplest of tasks, and DBAs are disparaging…
Overview The introduction of a discrete environment dedicated to data discovery and model building (e.g. a Datalab) can substantially deal with the lack of agility of more traditional data warehouses…
Introduction Discussion of data models in Bigdata environments usually centres around technology focused question – file formats, what compression to use, which columnar store is preferred, whether the file structures…
There has never been a time that data hasn’t been recognised to be as important as it is today. It seems that the world has woken up to the potential…
Simon Griffiths architects data-first systems, sceptical about the rest. Drawing on long experience across enterprise data, architecture, and AI, he prefers platforms designed for reality, not just the latest narrative.