The compute category has evolved significantly over the past few years.

We started with warehouses where compute and storage were tightly coupled.

Next, we transitioned to solutions with separate compute and storage within the same provider.

Now, we are adopting fully decoupled storage using Iceberg.

The most significant advantage of this transition is the ease of integrating single-node engines (like DuckDB, Polars, and others) with the rest of the stack.

I’ve been exploring how to integrate these engines into a pipeline over the past few weeks.

In this week’s newsletter, I discuss some potential approaches.

Interested?

Checkout here:

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I’ve been implementing Iceberg data lakes for clients over the last few months and really enjoying it.

If you’re Iceberg-curious and want to explore if it’s a fit for your organization’s data stack, drop me a DM!