课程
Case Study: Building E-Commerce Data Models with dbt
高级技能水平
更新时间 2026年1月dbtData Engineering4 小时7 视频31 练习2,750 经验值2,749成就声明
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试用DataCamp for Business课程描述
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 SQLIntermediate dbt1
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.
2
Building dbt models
Dive deep into the weeds of dbt data modeling. Build the data pipeline from preliminary staging models to the final data mart models for answering critical business needs. Along the way, get experience creating data tests to guardrail against data quality drift.
3
Improving dbt with Jinja
Learn to enhance your dbt projects with Jinja by streamlining code, reducing redundancy, and improving maintainability. You'll practice using variables, loops, and macros to build more efficient transformation workflows.
Case Study: Building E-Commerce Data Models with dbt
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