potiuk commented on code in PR #1265: URL: https://github.com/apache/airflow-site/pull/1265#discussion_r2475917816
########## landing-pages/site/content/en/use-cases/etl_analytics.md: ########## @@ -13,9 +13,9 @@ blocktype: use-case </div> -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. +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). Review Comment: 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. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
