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I'm also struggling to understand what the novel tech here actually is

What could I do with this that I couldn't achieve with iceberg-rs + DataFusion + parquet/vortex

They repeatedly talk about "80% size reduction with compression. Isn't that essentially just the default parquet compression ratio?

What exactly is unique here

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I’m curious too. We need to see 1b+ numbers or else it just seems like we’re leveraging compression here, which is great but it’s hard to understand why it’s novel and why it’s the best solution no contest.
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