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Added File Types in Databrick Docs (#8865)
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@ -21,6 +21,12 @@ To deploy OpenMetadata, check the <a href="/deployment">Deployment</a> guides.
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To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
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custom Airflow plugins to handle the workflow deployment.
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<Note>
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Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
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</Note>
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** S3 Permissions **
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<p> To execute metadata extraction AWS account should have enough access to fetch required data. The <strong>Bucket Policy</strong> in AWS requires at least these permissions: </p>
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@ -21,6 +21,12 @@ To deploy OpenMetadata, check the <a href="/deployment">Deployment</a> guides.
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To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
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custom Airflow plugins to handle the workflow deployment.
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<Note>
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Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
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</Note>
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** S3 Permissions **
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<p> To execute metadata extraction AWS account should have enough access to fetch required data. The <strong>Bucket Policy</strong> in AWS requires at least these permissions: </p>
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@ -40,6 +40,12 @@ To deploy OpenMetadata, check the <a href="/deployment">Deployment</a> guides.
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To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
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custom Airflow plugins to handle the workflow deployment.
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<Note>
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Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
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</Note>
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** S3 Permissions **
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<p> To execute metadata extraction AWS account should have enough access to fetch required data. The <strong>Bucket Policy</strong> in AWS requires at least these permissions: </p>
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