April 7, 2022, 2 p.m. | Bennett Lambert

Towards Data Science - Medium towardsdatascience.com

Great Expectations goes Kubernetes native

Recently at work we’ve been discussing what our dream machine learning pipeline would look like. As background research we came across the Great Expectations package, which looks really promising as a data validation step in our pipeline. In this article I’m going to explore using Great Expectations as part of an Argo Workflow to run data validation during data preprocessing.

Disclaimer: I’m not an expert! This is a learning process for me, so what I …

argo data data engineering data validation great expectations machine learning mlops validation workflows

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland