Case Study: Building E-Commerce Data Models with dbt

高级技能水平

更新时间 2026年1月

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

课程描述

Transform raw data into clean, reliable models using dbt (Data Build Tool) - a modern, SQL-based transformation framework used by data teams around the world. This hands-on case study course is designed for early-stage learners who want to build real-world skills through guided, practical exercises. You'll set up your own dbt environment, model data at scale, and write reusable code using dbt's built-in features.

Set Up Your Project and Explore the Data

Get started by setting up a dbt project and working with a real E-Commerce dataset. You'll structure raw data, configure profiles, and debug syntax issues while gaining insight into the business context behind each transformation step.

Build and Validate Models

Learn to create scalable staging models and apply data quality checks to ensure your datasets are accurate and analysis-ready. You'll build a solid foundation for answering key business questions.

Automate with Jinja

Finish the course by learning how to use Jinja to write reusable, maintainable code. You'll use variables, control flow, and loops to follow the DRY (Don't Repeat Yourself) principle to streamline your dbt workflow.

先决条件

Data Manipulation in SQL Intermediate dbt

Setting up dbt

Get practice building a dbt project from the ground up. Apply your skills at loading different types of data into the dbt project and setting up a variety of staging dbt models. This chapter focuses on the E and L parts of the ELT process.

课程描述

Set Up Your Project and Explore the Data

Build and Validate Models

Automate with Jinja

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加入超过.css-nklxlk{color:var(--wf-brand--main, #03EF62);}19百万学习者，今天就开始Case Study: Building E-Commerce Data Models with dbt！

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