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The hardest part of data analysis isn't writing SQL. It's finding the right tables to use in the first place and understanding semantically how to use data.

This piece is a working guide for engineers who want to land on the productive side of that split.

In this article, we will learn how they built this flywheel and the key takeaways.

In this article, we will look at the most significant failure mode patterns in distributed systems and the standard approaches to deal with each of them.

In this article, we will look at how Airtable's data infrastructure team built its architecture, the challenges they faced, the tradeoffs they accepted, and why the choices they made only make sense once their data is properly understood.

In this article, we examine the constraints Vercel faced, the choices they made in response, and the optimizations that produced the speedup.

In this article, we will look at how the CockroachDB engineering team built this index and the challenges they faced.

Ask an LLM about your company's data and it will guess. The two patterns that fix this are RAG and agents, and they solve different problems.

The first cohort starts in about a week: May 28-29, 2026.

In this article, we will look at each of these patterns in detail, along with their advantages.