Raw and unedited

Top 3 things:

1. How to migrate legacy data platforms safely
   audit first, choose greenfield vs. lift-and-shift early, define the target architecture, and validate with a thin-slice POC rather than a big-bang migration.

2. Using AI in migration work, with human oversight
   LLMs can help translate code, create plans, surface outliers, and review alternatives, but edge cases, over-engineering, and validation mean people remain essential.

3. Preserving business context and governance
   retain raw migration conversations, document why decisions were made, separate logic/context from the execution platform, and establish governance, cost monitoring, and FinOps from day one.

https://agiledata.info/p/watch-now-recording-of-aura-chris-b41?utm_source=youtube

Shane runs a one-day workshop on the Information Product Canvas, a repeatable way to gather data requirements in 30 minutes. The approach he actually uses with his stakeholders, not a textbook version that falls apart on contact with messy data and vague stakeholder requirements.

Latest dates: Gather data requirements in 30 minutes using a shared language.

Simply Magical Data Ways of Working