Manage and Monitor dbt Projects at Scale

Large-scale data transformations can be optimized. This course teaches you to design scalable dbt projects, optimize with dbt Cloud, and automate reliable pipelines using Airflow, Prefect, and Dagster for real-time insights.
Large-scale data transformations face challenges like disorganized structures and unreliable pipelines. Along with tools like Airflow, Prefect, or Dagster, dbt enables scalable, automated data pipelines for enterprise needs.
In this course, Manage and Monitor dbt Projects at Scale, you'll gain the ability to design, optimize, and automate robust dbt projects for enterprise-grade data transformations, ensuring scalability and reliability.
First, you'll learn to structure dbt projects for large-scale environments with modular designs, consistent naming, and coding standards.
Next, you'll discover techniques to monitor dbt performance and troubleshoot failures.
Finally, you'll learn how to integrate dbt with data orchestration tools like Apache Airflow, Prefect, and Dagster to automate end-to-end data pipelines.
When you're finished with this course, you'll have the skills and knowledge of dbt, data modeling, and orchestration needed to build scalable, automated data pipelines that deliver reliable, real-time insights for data-driven decision-making.
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