modern data stack

“When we talk about the modern data stack, we think about what's really four layers. So there's data ingestion. There's the data warehouse. There's data transformation or like taking all that raw data and like turning it into something valuable. And then there'…”

“The original modern data stack was four layers. It was data ingestion. How do you get your data from all of your different upstream systems? It was data storage or warehousing, and how do you actually store and compute data? It was transformation. And then it …”

“Again, if you look in five years, I think that this distinction will have been sanded over and will not be salient anymore.”

“Pretty quickly you're gonna realize they're all stepping on each other's toes, and that, that fallout has to go somewhere. Like, not all of these companies can be the next Figma that they all now say that they are, and so it's what happens then, and I think it…”

“You could potentially incorporate data into that, such that the data sort of surfaced to people in the moment they need it in the product you're trying to use to solve the problem, instead of going to a dashboard and, like, clicking on some stuff. So I think t…”

“The modern data stack is incredibly fragmented and is not well suited for real time Use cases when you want to work with fresh data and you want to do it at scale.”

“And then there's the acceleration of like alternative architectures, you know, storage. Why don't you just dump everything in S three, which is very cheap. And then, you know, you could use iceberg on top to add some structure to it. You can, we talked about D…”

“This emergence of fully managed data platforms that quite often abstract away a lot of those vendors. Into just one interface. So you deal with one vendor, one contract, and you don't have to worry about the stitching.”

“I expect the same to happen with regards to the modern data stack.”

“There was just, there were too many companies created too quickly.”

“If what you were trying to do is maximize the multiple that your software company was trading at, then AI is the enemy because all the multiple expansion has moved from modern data stack to AI.”

“I don't think the modern data stack is a useful idea anymore.”

“My big conclusion is I sent an email to our product marketing, our head of product marketing. I was like, Hey, can we just say the analytics stack? Like this is a set of technologies that works together to do analytics. And it kind of tries to get away from th…”