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Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, an
Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contrac
An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker
This example walks through how to set up an ETL pipeline using Airflow. I set up at DAG to query the openweathermap.org API everyday, process the json data and store it in a PostgreSQL database. For explanation of how this code works see this blog post
To install the requirements (except for Python and postgres) type:
pip install -r requirements.t