Build A Data Pipeline - Airflow, dbt, snowflake and more!

Data Engineering with Apache Airflow, Snowflake & dbt Timestamps: 0:00 Introduction 0:43 Self-promotion 1:09 Snowflake Background 3:21 dbt Background 5:55 Apache Airflow Background 6:45 Github Background 7:35 Docker Background 7:50 High Level Diagram 9:06 Prerequisites 9:37 git clone 10:34 Configuration 10:55 High Level Detail 12:24 docker-compose build 13:23 docker-compose up 13:39 docker ps 13:58 docker exec -it [] /bin/bash 14:30 Apache Airflow Web Interface 15:36 snowflake integration 15:45 Conclusion #dataengineering #airflow #dbt #snowflake #github #docker This video showcases a repository with a data pipeline using Apache Airflow, Snowflake, and dbt. Learn to manage data workflows with Airflow, transform data in Snowflake using dbt, and integrate Docker for easy setup. Key Features: Airflow orchestration with Docker dbt data transformations in Snowflake GitHub integration for version control Requirements: Snowflake account GitHub repository Docker & Visual Studio Code Build a scalable, modern data pipeline by following this concise guide! run this command in your terminal to clone this project git clone https://github.com/kplofts/snowflakeAirflowDBT.git https://github.com/kplofts/snowflakeAirflowDBT Meetup: https://meetup.com/datasolve-meetup-group/ Calendar: https://calendly.com/datahelp1/