Brian Lipp

How do you choose the cloud data platform that best suits your needs? There’s a lot to sift through. In this series, I’m breaking down your different options,…

TLDR Here are a few tips to add to your Python projects to increase robustness and quality: Type hinting Pure functions Leaving init.py alone Pylinting Using data classes…

So far in our MLOps journey, see MLOps Basics (Parts I-III), we have created ML research and ML model-building pipelines as well as saved them in serialized form. Saving models this way allows us…

Part I: What is MLOps? MLOps (Machine Learning Operations) is the practice of combining the lessons learned from DevOps for the productionalization of machine learning. Its role is…

If you run into issues with versioning and package management when working on multiple Python projects, don’t worry, you’re not alone. I will introduce two projects to hopefully…

Some suitable meditations before we unlock the Lakehouse: “Do not collect weapons or practice with weapons beyond what is useful.” Miyamoto Musashi, Dokkodo Students of the Ichi school Way…

When starting a new project, it’s a good idea to evaluate your data storage needs. I’m going to shy away from the term database and instead, I’ll use…

Data Engineering: then and now Data Engineering is a relatively new concept, although the skills have been around for some time. If you Google around you will find…