Shopify's Data Science & Engineering Foundations - Shopify

This post details Shopify's foundational approaches to data warehousing and analysis, emphasizing dimensional modeling (Kimball's approach) for queryability and team compatibility, a single data modeling platform built on Spark in a shared GitHub repo, open access to modelled data on a Presto cluster, rigorous unit-tested ETL pipelines, centralized vetted dashboards and data points for reproducibility, peer review for all work, deep product understanding by sub-teams, effective communication of insights with opinions and recommendations, collaboration across data teams, and a positive philosophy about data's impact. It highlights how these foundations enable data scientists to deliver high-quality, daily insights for internal teams, merchants, and partners.