Flexible Reproducibility in Data Workflows

Jan 21, 2020 00:00 · 98 words · 1 minute read

A while ago, I wrote a piece for our ACLU tech & analytics blog about how to write analytical pipelines that work on new data, in a world where even data structures may change constantly. It’s available here, alongside many other thoughtful and practical pieces of writing about civic tech at a civil rights nonprofit law firm. (If you’re heading that way, I’d also strongly recommend Priya’s post about her internship on our team, Tom’s piece on the contract peculiarities of data engineering at the ACLU, or Jung-Hee’s excellent guide to assertions and quality control in data pipelines.)

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