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

Meetup:

Calendar:

[DataSolve-uz]

Hey everyone! I'd love to hear about the pipelines you're working on and any content you'd like to see. Wishing you all the best in your projects!