Transform Your Data with DBT in the Modern Data Stack

Join this Free Udemy Course on DBT and learn to transform your data effectively!

In today’s data-driven world, where speed, scalability, and traceability are crucial, DBT (Data Build Tool) has emerged as a fundamental tool for modern analytics teams. This comprehensive course is designed to take you from zero to expert in DBT, guiding you step by step through the intricacies of this powerful tool within the context of the Modern Data Stack.

Throughout this program, you’ll discover the essence of analytical engineering, understand its significance in today’s landscape, and see how DBT acts as the centerpiece of this transformation. You’ll start by setting up your very first DBT project, connecting with Snowflake, and creating simple models. As you progress, you’ll learn how to build modular models, properly organize your folders and files, and apply best development practices.

Venturing into advanced transformations, you’ll uncover the use of macros, tests, and snapshots, and implement Jinja for conditional logic. Additionally, you’ll master model materialization, incremental strategies like merge and append, and manage environments in dbt Cloud. By the end of the course, you’ll be equipped to maintain and optimize your production pipelines through automated documentation, continuous testing, monitoring, and model refactoring. This course blends theory with practical labs to ensure a comprehensive and applicable learning experience in real-world contexts. If you aim to become a true Analytics Engineer and excel at 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: 37
  • Duration: 8h 16m

Requirements:

  • No previous experience with DBT is required.
  • Basic SQL knowledge 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 Snowflake account.

Who is it for?

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

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