Category: Data Engineering
A professional blog examining data engineering in the real world, from privacy‑first data policy and regulations such as GDPR to the architectures, tools, and practices organisations use to collect, process, and govern data. The focus is on practical use cases, ethical data use, and building trustworthy data platforms in modern organisations.
Dashboards show what changed, not why. Metric Trees solve this: they break your North Star Metric into clear drivers and levers, turning panic into structured investigation. Teams trace issues to root causes and act with confidence. Stop guessing. Build a Metric Tree.
Hallucinations are holding AI back. Retrieval-Augmented Generation (RAG) fixes that by grounding LLMs in real, verifiable data. This deep dive explains what RAG is, why it matters, key 2024 trends, and how to get started building more accurate, trustworthy AI applications today.
Explore how Brexit has influenced GDPR regulations in the UK. Learn about the changes, adequacy decisions, and data protection provisions post-transition period. Understand the ongoing impact on data flow and privacy considerations.
There are some significant consequences to Britain leaving Europe from a data protection point of view. Depending on the type of exit the politicians finally decide, if at all :), this will have significant...
Legacy security is not effective. With daily news of yet another security breach, (Microsoft, Dropbox, LinkedIn, Home Depot, Yahoo and Equifax breach. it is clear that the existing application infrastructure model is hard to keep secure. ...
The new General Data Protection Regulations (GDPR) come into force on 25th May 2018 and there is an abundance of information and misinformation on the web. I have taken a look at some of...