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Parameterizing SQL and extracting it into files

Inline SQL strings get unwieldy fast and can't be reviewed by your data team. Your team has extracted the aggregation into include/sql/aggregate_sales.sql so it lives next to the rest of the project. Make the query date-aware so each run processes a single day, then point the pipeline at the file. Use /home/repl/workspace/include/sql as the SQL folder path.

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<cours>Building Data Pipelines with Airflow</cours>
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