Transforming Data with DBT in the Modern Data Stack

Enroll in this Free Udemy Course on DBT and elevate your data transformation skills today!

In today’s data-driven world, where speed, scalability, and traceability are paramount, DBT (Data Build Tool) has emerged as a vital asset for modern analytics teams. This course offers a comprehensive journey from the basics to expertise in DBT, guiding you step by step in utilizing this powerful tool within the framework of the Modern Data Stack. Throughout this program, you will explore the world of analytical engineering, why it is crucial today, and how DBT serves as the backbone of this transformation.

You’ll start by setting up your first DBT project, establishing a connection with Snowflake, and creating basic models. From there, you’ll move on to developing modular models, organizing your folders and files, and applying best development practices. Delve into advanced transformations, learning to use macros, tests, and snapshots, as well as how to implement Jinja for conditional logic. You will also master materialization strategies, incremental processing techniques like merge and append, and the management of environments in DBT Cloud.

By the end of the course, you will be equipped to maintain and optimize your production pipelines through automated documentation, continuous testing, monitoring, and model refactoring. This course blends theory, practice, and guided labs to provide a complete and applicable experience in real-world contexts. If you aspire to become a genuine Analytics Engineer and master data transformation with DBT and Snowflake, then this course is the perfect fit 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 mart models.

Course Content:

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

Requirements:

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

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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