Added File Types in Databrick Docs (#8865)

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Mayur Singal 2022-11-20 10:37:48 +05:30 committed by GitHub
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@ -21,6 +21,12 @@ To deploy OpenMetadata, check the <a href="/deployment">Deployment</a> guides.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
<Note>
Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
</Note>
** S3 Permissions **
<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.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
<Note>
Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
</Note>
** S3 Permissions **
<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.
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.
<Note>
Datalake connector supports extracting metadata from file types `JSON`, `CSV`, `TSV` & `Parquet`.
</Note>
** S3 Permissions **
<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>