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Qingping Hou
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fix typos for airflow dag blog post
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_posts/2020-03-02-breaking-up-the-dag-repo.md

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@@ -48,7 +48,7 @@ Each of these approaches comes with its own set of trade-offs.
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operations point of view, considering that Airflow only requires read access.
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* Pulling DAGs requires some deployment or other coordination to ensure that the
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local filesystem has been populated with the appropriate changes before
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starting Aifrlow.
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starting Airflow.
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We decided to go with the "pull" model with AWS S3 as our "DAG source of
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truth." S3 provides a highly available and easily managed location for our DAG

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