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improve s3 docs
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docs/core_concepts/11_persistent_storage/large_data_files.mdx

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@@ -23,11 +23,11 @@ S3 files in Windmill are just pointers to the S3 object using its key. As such,
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```json
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{
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"s3": "/s3/object/file/key"
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"s3": "path/to/file"
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}
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```
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![S3 Integration Infographic](./s3_infographics.png "S3 Integration Infographic")
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![S3 Integration Infographic](./s3_infographics.png 'S3 Integration Infographic')
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The resource can be set to be public with toggle "S3 resource details can be accessed by all users of this workspace".
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3. [Create a container](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-portal). Azure's containers are roughly the equivalent to S3 buckets. Note though that secret access key are per account, not per container.
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4. [Integrate it to Windmill](../../integrations/microsoft-azure-blob.md) by filling the [resource type details](https://hub.windmill.dev/resource_types/137) for Azure Blob APIs.
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4. [Integrate it to Windmill](../../integrations/microsoft-azure-blob.md) by filling the [resource type details](https://hub.windmill.dev/resource_types/137) for Azure Blob APIs.

docs/core_concepts/18_files_binary_data/index.mdx

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```json
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{
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"s3": "/s3/object/file/key"
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"s3": "path/to/file"
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}
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```
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docs/core_concepts/27_data_pipelines/index.mdx

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```json
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{
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"s3": "/s3/object/file/key"
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"s3": "path/to/file"
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}
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```
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:::
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### Canonical data pipeline in Windmill w/ Polars and DuckDB
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With S3 as the external store, a transformation script in a flow will typically perform:

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