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

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So you start getting data out of the database.
Replicate them into the analytic systems.
get into Elasticsearch for like block analysis.
A lot of our customers obviously get into Databricks to run more sophisticated things.
And there's this term called CDC, which means data capture.
And what it does, it reads the bin log of the database.
And if you don't understand what bin log is, fine.
But it's a little delta of the data and it reconstructs based on the delta, the state of the database on the analytics side.
But CEC is like a very painful thing.
It's how basically standard in industry, everybody uses it.
But it ends up being sort of, I think many data engineers ends up being waken up at like 3 a.m.
because there's some
It's one of the most boring, but one of the most fundamental operations powering modern society.
But it's so brittle that we joke that it should be called continuous data corruption, because you might change your schema on your database, and then the CDC pipeline fails to handle the schema change.
And then everything goes south.
But it's, in general, very complicated.
I think at my keynote, I asked the audience to put up their hand if they loved the CDC pipeline.
Only maybe two people put it up.
So if single store, like about maybe a decade ago, I think the industry had this idea, hey, what if I built a single database that can handle both workloads?
Yes, yes.
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