# Shopify's Data Science & Engineering Foundations

DevFeed: [Shopify's Data Science & Engineering Foundations](<https://devfeed.tech/articles/shopify-s-data-science-engineering-foundations-1613.md>)

Original publisher: [Read original article](<https://shopify.engineering/shopifys-data-science-engineering-foundations>)

Author: Marc-Olivier Arsenault

Published: 2020-06-18T16:16:00Z

Content type: article

Language: en

Sources: [Shopify Engineering](<https://devfeed.tech/sources/shopify-engineering.md>), [Shopify Engineering - Shopify Engineering](<https://devfeed.tech/sources/shopify-engineering-shopify-engineering.md>)

Topics: [Shopify](<https://devfeed.tech/topics/shopify.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [data](<https://devfeed.tech/topics/data.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>)

Tags: [analysis](<https://devfeed.tech/tags/analysis.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [github](<https://devfeed.tech/tags/github.md>), [modelling](<https://devfeed.tech/tags/modelling.md>), [shopify](<https://devfeed.tech/tags/shopify.md>), [spark](<https://devfeed.tech/tags/spark.md>)

## AI overview

Shopify's Data Science & Engineering team describes foundational practices for data warehousing and analysis. The article emphasizes shared dimensional-modelling principles, consistent schemas, accessible data models, and a common Spark-based platform in a shared GitHub repository. These practices help teams work faster, collaborate across organizational boundaries, and provide reliable insights to Shopify's stakeholders, merchants, and partners.

## Source excerpt

Shopify's Data team uses these foundational approaches to data warehousing and analysis empowering us to deliver the best results for our ecosystem.