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@didier-durand
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Hi,

As per title, fixing 1 incorrect link for ETL use case: see commit diff for details.

Cheers,
Didier

Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT) data pipelines are the most common use case for Apache Airflow. 90% of respondents in the 2023 Apache Airflow survey are using Airflow for ETL/ELT to power analytics use cases.

The video below shows a simple ETL/ELT pipeline in Airflow that extracts climate data from a CSV file, as well as weather data from an API, runs transformations and then loads the results into a database to power a dashboard. You can find the code for this example [here](https://github.com/astronomer/airflow-quickstart).
The video below shows a simple ETL/ELT pipeline in Airflow that extracts climate data from a CSV file, as well as weather data from an API, runs transformations and then loads the results into a database to power a dashboard. You can find the code for this example [here](https://www.astronomer.io/docs/learn/2.x/airflow-quickstart).
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Actually - we should avoid pointing to external sources from our "regular" content. I think we should remove it from the main pages - and add it to "ecosystem" page as one of the "community" sources.

@didier-durand
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Hi, I just removed the link to the Astronomer site on this site. I kept the video underneath as it belongs to Airflow account.

BTW, there is already a link to Astronomer site in the community page: no need to add it

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2 participants