Focusing on Data, Architecture and AI
Simon Griffiths architects data-first systems, and is 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.
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…
The use of AI to write and maintain computer code has already become the industry norm – there can hardly be any programmers out there who are no seeing some…
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…
Some history It is no exaggeration to say that the relative prosperity of the world today is fundamentally based on the division of labour. The division of labour enabled us…
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…
Yesterday, there was a question on an enterprise architecture discussion forum asking whether Powerpoint could have any value as an EA tool? I was interested to read the comments where…
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.