data lake

“Where we are today, the data lake can kind of do anything. But it also probably takes more work to do anything. Whereas the data warehouse is, has a more constrained set of use cases, but it is much easier to get up and running for those constraints set of use…”

“And I think this kind of funny war between warehouse and lake and web model We should access the data that that seems to me a little bit irrelevant because both of those access models are very acceptable.”

“I think you start going backward from your consumers of the data data lakes. So look at who's accessing it, why they're accessing it, what data do they need? Work backward and go back to the source.”

“In many cases, I mean, I, I've worked in companies like this, it just turned into a data swamp, and that's because, in spite of the amazing technology we had, we kind of lost sight of these fundamental things.”

“We do think data lakes are where you're going to want to store as much data as you can, just because the economics will drive that, but you'll never store everything”