This project helps me to understand the core concepts of Apache Airflow. I have created custom operators to perform tasks such as staging the data, filling the data warehouse, and running checks on the data quality as the final step. Automate the ETL pipeline and creation of data warehouse using Apache Airflow. Skills include: Using Airflow to …
☆104Aug 11, 2019Updated 7 years ago
Alternatives and similar repositories for Data-Pipelines-with-Airflow
Users that are interested in Data-Pipelines-with-Airflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Creating Data Pipelines with Apache Airflow to manage ETL from Amazon S3 into Amazon Redshift☆14Jun 12, 2019Updated 7 years ago
- ☆17Nov 20, 2020Updated 5 years ago
- ☆16Dec 4, 2017Updated 8 years ago
- Code for Data Pipelines with Apache Airflow☆830Aug 15, 2024Updated 2 years ago
- ☆21Jan 13, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation,…☆89Nov 22, 2021Updated 4 years ago
- Beginner data engineering project - batch edition☆605Apr 13, 2026Updated 6 months ago
- Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.☆354Jan 12, 2022Updated 4 years ago
- A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Metabase, Dbt, Polars, Doc…☆25Nov 19, 2024Updated last year
- Airflow Examples: code samples for Medium articles☆14Jan 10, 2021Updated 5 years ago
- Example end to end data engineering project.