Why (and how) to put notebooks in production
Putting notebooks and production in the same sentence is a sure way to trigger a heated online debate. This topic comes …
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Effective SQL for Data Science
Given the increase in popularity of technologies such as Snowflake, SQL is more prevalent than ever. That’s …
Leveraging parquet's metadata to self-document data files
tl; dr; This post shows how you can include data documentation in a parquet file by decorating the function that …
Open-source Workflow Management Tools: A Survey
Introduction Operationalizing Data Science projects is no trivial task. At the very least, data analysis workflows have …
Training-serving skew
Training-serving skew is one of the most common problems when deploying Machine Learning models. This post explains what …
Managing software dependencies for Data Science projects
Virtual environments are a must when developing software projects. They allow you to create self-contained, isolated …