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Jay Chia - eventual.ai

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@jaychia_

Cofounder @ Eventual - database for physical AI
San Francisco, CA daft.ai Joined August 2022
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Jay Chia - eventual.ai Verified account @jaychia_
Late night rant: Spark is an awesome piece of software. But a horrible developer experience.

What happened to OSS that was simply `apt install` and 🚀? Why should software be excused for slow local performance because it was built for "production scale"?

So much of "big data" JVM-based tooling was hacked together on the giant datacenters of tech giants. The world has changed, and so too must our big data tooling.

⭐️ Rust: self-contained compiled native binaries that have no dependencies. Hello, clean installs, my old friend.

🐍 Python: the undeniable winner of iterative plumbing for data/ML. Build with a Python API in mind. Using the JVM through a Py4J gateway should be an automatic disqualification.

☁️ Cloud: Build cloud-first, lightweight, ephemeral software. Cattle vs Pets. S3, not NFS/HDFS. Spot instances, not machines on a rack.

🤓 Dev UX: build for the single developer, on their laptop, then think about scaling. A docker-compose local dev story is lazy bundling of overly complicated software.

☀️ Open Formats: let software TALK to each other, so devs can choose the right tool for the right job, and so devs can keep building better tooling. This is why JSON is awesome. Arrow is awesome. Iceberg is awesome. Parquet and CSV are (I begrudgingly admit) somewhat awesome. And please build flexible SDKs for these formats, in C++ or Rust, not just for the JVM.
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Jay Chia - eventual.ai Verified account @jaychia_
Had a ton of fun with @CMUDB and @andy_pavlo talking about databases AND AI/robots! SPOILER: we’re giving away our simple recipe for how to work with millions of video hours with just good ol’ parquet, iceberg and mp4.

youtu.be/S6_HFMpz_Yk?si…

Now go oneshot this w Fable 🤣
www.youtube.com Database for Visual Data and Robot Sensors: Beyond Vector Search,... CMU Database Group — Whatever Andy Found Interesting While Out At S...
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