Matei Zaharia

speaker
417 appearances 1 recordings 1 series first heard Jun 2026 last heard 24 Jun

Matei Zaharia’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

Appearances

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FRANCESC CAMPOY- Like if the string is like a country code or something.
MARK MANDELMANN- Yeah.
FRANCESC CAMPOY- Yeah.
Same thing.
That could arise over time also, and this leads to how to do things incrementally, right?
Like we realize you don't need it right now.
We don't need to solve that problem to have a lot of value from the Core Intel tab.
I think they started with, they thought, okay, we'll just manage the most valuable data and try to make it really fast.
For that, we'll have our own storage, which is optimized with the engine, and then we'll just target the small amount of data that the
managers and whatever you know finance people and so on look at and make that super fast to serve and you know it was a different space whereas we started with like we'll do the bulk processing and ingest like you got a bunch of you know json log files you got whatever we do that very large scale stuff because that's what spark was was for the large scale mapper juice like stuff and then we'll
keep the data in an open format might be slower, but like it's already out there, you can consume it downstream.
And it turned out that, you know, it's easier to go from that BOD thing that's really good at the scale and ingesting and super low cost and create versions in it that have the speed and features of the, you know, super easy to use, like smaller data for business users thing.
Yeah, start open and start large.
Like in some sense, we started upstream of them.
And there was a time actually when we both like sort of listed each other as partners because he said, if you use both solutions together, use Databricks for like your ingest and compute and then serve the tables out of Snowflake, you get all the
visualization, all the very fast stuff.
Like, that's great.
And then, you know, we both realized, like, customers were telling us, like, why do I need this other thing?
Why can't I just query your tables?
And we said, no, we're horrible at that.
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