Top Posts

I’ve been putting my thoughts together on modern data analytics systems.

Topics cover the intersection of Data Engineering and Data Analytics, with a focus on providing thought-provoking content rather than reference manuals for current tech.

Leave me a comment at the bottom of a post if you’ve enjoyed it or have feedback!

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Below are the better ones, the rest are on the home page.

Context, and the Lack Thereof

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 int... Read more

The Ocean is Not Full

Seeking flow state on the foil in the first week of September, a reflection on the pursuit of an open-faced wave.

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The future history of Data Engineering

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.

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dataform and dbt

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 r... Read more

Data as a Utility Tool

Within the companies I have worked for and plan on working for, uncertainty is a common thread. Sales may continue to accelerate, funding should land next quarter, we hope to keep in touch. The uncertainty may be more concrete. We should change to a new CRM. We probably need to stop reporting ... Read more