Practical thinking on data platforms, cloud engineering, and AI that earns its place in production.
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A small open-source experiment comparing unchecked tool execution with tenant ownership, tool scope, exact approval, and identity checks. Includes an interactive lab and executable tests.
A practical release checklist for agents that query enterprise data or call business APIs, with a worked example and explicit failure tests.
How to define freshness, completeness, and failure handling before a dataset feeds a dashboard or AI assistant. Includes a small SQL validation example.
Most organisations do not have a dashboard shortage — they have a decision shortage. A look at how to shift analytics investment from building reports to changing how teams actually decide.
When the data platform becomes the single source of truth, it stops being IT infrastructure and starts being how the company runs. Lessons from building governed lakehouses on Azure.
AI agents promise huge productivity gains — but enterprise adoption lives or dies on governance, trust, and ROI. A pragmatic framework for separating the hype from the value.