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DataCamp

dbt Fundamentals

via DataCamp

Overview

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Build reliable, scalable data pipelines with dbt Fundamentals, a hands-on track designed for data analysts, data engineers, analytics engineers, and anyone working with modern data stacks. You'll start by setting up a dbt project and transforming raw data using SQL models, then progress to building robust ELT workflows with sources, seeds, and snapshots. Along the way, you'll implement testing strategies, generate documentation, and apply advanced dbt features like reusable tests and Jinja templating. By the end, you'll have the practical skills to manage production-grade analytics workflows using dbt with confidence.

Syllabus

  • Introduction to dbt
    • This course introduces dbt for data modeling, transformations, testing, and building documentation.
  • Intermediate dbt
    • Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
  • Case Study: Building E-Commerce Data Models with dbt
    • Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
  • What is dbt? A Hands-On Introduction for Data Engineers

Taught by

Mike Metzger and Susan Sun

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