I have a couple keynote addresses to make in September. I believe Cloud Nirvana is first. The topic, Your Data Is Ready. Is Your AI?, can be interpreted broadly, but I always find that honing-in is a good exercise. At this moment, I’m thinking of looking at it

I've noticed something about when a legacy or highly regulated organization quickly "catches up" with the rest of the economy in data capabilities. 1. Velocity becomes critical Time becomes wayyyy more finite because you have to cover more of the hierarchy in the same number of

We don't have direct S3 access. Entra-AWS identity friction makes that a non-starter for now, which means passively reading external tables from S3 isn't viable; not unless we're committing to full truncate-and-reload cycles on billion-row tables. We're

I'm generally a best-practices person. I think there's wisdom in the consensus positions that the data governance community has built up over decades, and I try not to be contrarian for its own sake. But some recommendations read like they were written for an organization