Industry information management for causal inference
Proactive collection of data to comply or confront assumptions
Crosspost: The Art of Abstraction in ETL
Rounding out my three-part ETL series form Airbyte’s developer blog
The Art of Abstraction in ETL: Dodging Data Extraction Errors
Cross-post from guest post on Airbyte’s developer blog
Goin' to Carolina in my mind (or on my hard drive)
Out-of-memory processing of North Carolina’s voter file with DuckDB and Apache Arrow
Oh, I'm sure it's probably nothing
How we do (or don’t) think about null values and why the polyglot push makes it all the more important
Update: grouped data quality check PR merged to dbt-utils
After a prior post on the merits of grouped data quality checks, I demo my newly merged implementation for dbt
Using databases with Shiny
Key issues when adding persistent storage to a Shiny application, featuring {golem} app development and Digital Ocean serving
How to Make R Markdown Snow
Much like ice sculpting, applying powertools to absolutely frivolous pursuits
Make grouping a first-class citizen in data quality checks
Which of these numbers doesn’t belong? -1, 0, 1, NA. You can’t judge data quality without data context, so our tools should enable as much context as possible.
Why machine learning hates vegetables
A personal encounter with ‘intelligent’ data products gone wrong
