Reynold Xin

speaker

331 appearances 1 recordings 1 series first heard Jun 2026 last heard 24 Jun

Reynold Xin’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

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

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Latent Space: The AI Engineer Podcast · Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks · 24 Jun 2026 podcast

You don't drop anything?

We for sure sample, but there's like massive amount of things.

And they use that to build a model.

like a machine learning model, not an L, a machine learning model.

Machine learning model basically can very, very quickly tell us how any algorithm and how any implementation will perform for any specific type of queries with very, very high fidelity.

And based on that, they can pick the most likely algorithm and data structure that will actually help with the different kinds of workloads.

Both at runtime as well as at implementation time.

Because there's like unlimited number of...

Yeah, I mean, if you think about it, a single database has many things implemented together, but you want to make sure they all work well with each other.

And then for any given operation, there might be more than one implementation.

So we make it actually one really, really... The reality is things, algorithms that work super well, for example, for very, very low latency might not work very well for, say, scanning through petabytes of data.

Actually, most often, there's a trade-off there between throughput and latency.

Yeah, scale and the distribution of data.

How sparse the data is, that matters very a lot.

How frequently do you hit the same data?

Those things matter a lot.

Like number of distinct value basically impacts the memory consumption of your aggregation, your hash.

I think if you actually try to lust it out, it'll probably be like a million different features.

But let me give you a very weird example, but it actually has a profound implication of performance, which is, is your string just ASCII or does it have Unicode in it?

How should you encode it?

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