Agile Data N’ Info

Agile Data N’ Info

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Trust Rules - Automated Data Validation, AgileData Engineering Pattern #3
The Trust Rules pattern provides automated data validation to ensure all incoming data is fit for purpose and trustworthy
Data is not a "profession" (plus a series of 'useful' analogies)
Am I right or am I wrong? And if i'm right and Data is not a profession, what needs to change to make me wrong?
1
Things in the "Context Plane"
How I think about the things that need to be in the "Context Plane" to power "AI Agents"
"Context Plane" not Context Layer
How I think about the place we store and surface context as a "plane" in the architecture not a "Layer"
Union two or more tables together automatically, AgileData Engineering Pattern #2
The Automated Table Unioning pattern automatically combines two or more tables by intelligently looking up column names and data types to generate safe…

June 2025

Orchestrating Dynamic Data Flows, AgileData Engineering Pattern #1
The Dynamic Data Flow Orchestration pattern dynamically generates and self-heals data flow manifests (DAGs) at runtime from a central context repository
4
Patterns for exploring "AI" in your organisation
Or what my current recommendations are, as things are moving damn fast
Background to the pattern of the "Context Plane"
How I think about our current version of the "Context Plane"
Data Engine Thinking Patterns with Roelant Vos
AgileData Podcast #66
Data Engineering Patterns with Chris Gambill
AgileData Podcast #65
Google is going to breach your "AI Moat"
So whats your business plan to mitigate that eventuality?
The new "AI Data Stack"
What does the new “AI” driven data stack look like?
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