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The latest thinking on data, commerce, technology, and culture from the Shopify Data Science & Engineering team.
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How to Build a Production Grade Workflow with SQL Modelling
How to Build a Production Grade Workflow with SQL Modelling
Learn how the Shopify Data Platform Engineering team built an SQL modelling tool, leveraging dbt, that speeds up dimensional modelling.
Michelle Ark
Nov 19, 2020
How to Build an Experiment Pipeline from Scratch
How to Build an Experiment Pipeline from Scratch
Learn how Shopify built an email experimentation pipeline from the ground up.
Mojan Hamed
Oct 19, 2020
How to Use Quasi-experiments and Counterfactuals to Build Great Products
How to Use Quasi-experiments and Counterfactuals to Build Great Products
A/B tests aren’t the only tool to understand causality: quasi-experiments and counterfactuals are powerful tools for causal inference.
Antoine Rebecq
Sep 30, 2020
How to Track State with Type 2 Dimensional Models
How to Track State with Type 2 Dimensional Models
Read on to learn how to track state with type 2 dimensional models using modern ETL tooling like PySpark & dbt.
Ian Whitestone
Aug 27, 2020
Great Code Reviews — The Superpower Your Team Needs
Great Code Reviews — The Superpower Your Team Needs
Learn how to ship valuable code that can stand the test of time.
Alejandro Lujan
Jul 29, 2020
How We’re Solving Data Discovery Challenges at Shopify
How We’re Solving Data Discovery Challenges at Shopify
Read about Shopify’s data discovery & management tool, Artifact, designed to increase productivity and make data more accessible.
Ranko Cupovic
Jul 21, 2020
How to thrive in the face of disruption: Tips from Shopify’s Data Team
How to thrive in the face of disruption: Tips from Shopify’s Data Team
Shopify’s Data Science & Engineering Foundations
Marc-Olivier Arsenault
Jun 9, 2020
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