DBT Beginner to Pro: End to End Pipeline with Airflow, Snowflake and DBT!!

Unleash the full potential of your data pipelines with DBT and Snowflake! In this video, we'll go through the step-by-step process on how to create end-to-end ELT pipelines using Apache Airflow, DBT, and Snowflake. Learn how to extract, transform, and load your data in a scalable and efficient way. Discover the benefits of using DBT for data transformation and Snowflake for data warehousing, and how Airflow can orchestrate the entire process. Whether you're a data engineer, data scientist, or business analyst, this video is for you! Get ready to take your data pipelines to the next level! Video Covers: - How to install apache airflow locally - How to run apache airflow locally - How to setup and connect dbt to snowflake - How to configure airflow dag to run dbt models - How to transform snowflake data using dbt - How to use airflow dag to run dbt and snowflake models - How to troubleshoot common airflow pipeline errors and issues - How to run and monitor airflow dags for your models Useful Videos referenced: - Install and run AIRFLOW locally with docker - https://youtu.be/iN6wEj9AlhA?si=u_UO7_zxY1ZJd9UG - Setup dbt core connection to snowflake - https://youtu.be/ZbLzOgAMAwk?si=fXdvIwSi6hNqjzN4 Airflow Source Code: https://github.com/kalekem/dbt_tutorial/blob/main/airflow/dbt_snowflake_airflow.py #etl #snowflake #dbt #airflow