A Modern Data Benchmark
I benchmarked dbt against what an LLM would build from scratch. Across 7 models, warehouse+dbt had a 5% pass rate. App-unified architectures had 38-48%.
Data Engineering.
I benchmarked dbt against what an LLM would build from scratch. Across 7 models, warehouse+dbt had a 5% pass rate. App-unified architectures had 38-48%.
Over the Christmas break, I decided to explore code execution for AI agents, inspired by Anthropic's blog on the topic.
a Tour de Links that follows the journey of the Modern Data Stack.
Enterprise data systems can often be quite distinct from their smaller startup cousins. This post takes a look at how our conversations around data systems and techniques need to be more sensitive to context, specifically when conversationalists have varying backgrounds. A puddle-deep dive into the world of enterprises and how they compare to startups.
Seeking flow state on the foil in the first week of September, a reflection on the pursuit of an open-faced wave.
Rich with historical trivia, linking to great practical insights, and sublime section headings. A must skim for any slow Friday - Data Workers Daily
Foils are pretty easy to ignore, ask me. I managed for nearly 8 years. I managed to miss the barbed hooks and swim on. Surfing, bouldering, drones, wave pools, offshore sailing for a seasick summer, you name it. This is a story about how you need patience to let the barbs catch.
On Data Engineers and their place in a Data SaaS world. This is a narrative for the near future of Data Engineering in startups, and I think makes some interesting points. I do think the post has avenues for expansion, especially counter-arguments in the context of enterprise tech.
Rapid fire thoughts on transitioning from a technical role into data. I’ve been asked frequently enough about making a transition into the Data Analytics space, aka my day job, that I thought it would be useful to combine my thoughts into a coherent post. This is a quick take on who this industry/job/role suits, what the skills required typically look like, and some background info on the industry…
A quick rundown on two of the “indicative-of-the-future” SQL tools in data analytics at the moment. Dataform and dbt. Welcome to my third post, one I have wanted to write from the beginning. Getting these posts done isn’t easy, and the time between publishing is a commitment that I undertook rather lightly. Like most good ideas, this one is late, irrelevant, and likely only to be marginally…