Unlock the Power of DBT in Modern Data Transformation

Explore this Free Udemy Course on DBT and enhance your data transformation skills today!

In the data-driven world of today, where speed, scalability, and traceability are essential, DBT (Data Build Tool) has become a fundamental asset for modern analytics teams. This course is meticulously designed to take you from zero to expert in DBT, guiding you step by step in leveraging this powerful tool within the Modern Data Stack. Throughout this program, you will discover what analytics engineering is, why it is crucial today, and how DBT sits at the heart of this transformation.

You will begin by setting up your first DBT project, connecting to Snowflake, and creating simple models. As you progress, you’ll explore how to build modular models, organize your folders and files, and apply best development practices. Delving into advanced transformations, you will learn to use macros, tests, and snapshots, as well as implement Jinja for conditional logic. You’ll master model materialization, incremental strategies like merge and append, and managing environments in DBT Cloud.

Finally, the course will prepare you to maintain and optimize your pipelines in production through automated documentation, continuous testing, monitoring, and model refactoring. This comprehensive course combines theory, practical exercises, and guided labs to ensure a rich and applicable experience in real-world contexts. If you’re eager to become a true Analytics Engineer and master data transformation with DBT and Snowflake, this is the course for you.

What you will learn:

  • Understand what DBT is and its role in modern data transformation.
  • Design scalable projects using the Modern Data Stack and tools like DBT and Snowflake.
  • Apply best practices in data modeling, including staging, intermediate, and marts.

Course Content:

  • Sections: 7
  • Lectures: 38
  • Duration: 8h 17m

Requirements:

  • No prior experience with DBT is required.
  • Basic SQL knowledge is highly recommended.
  • Familiarity with general database and data analysis concepts will be helpful.
  • Access to a free dbt Cloud account and optionally a trial Snowflake account.

Who is it for?

  • Data analysts looking to automate and scale their transformation processes.
  • Data scientists and BI Analysts interested in improving the quality and traceability of their datasets.
  • Data engineers wanting to incorporate DBT into their data pipelines.
  • Students or professionals in the data field wanting to learn about the Modern Data Stack.
  • Analytics teams seeking to collaborate on organized and versioned projects.

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