How to read nested xlsx files in Azure Data Factory

Abhishek Tripathi 0 Reputation points
2024-04-27T03:51:29.27+00:00

How we can read these types of nested xlsx files in ADFWhatsApp Image 2024-04-27 at 09.16.04_00f9ab53

Azure Databricks
Azure Databricks
An Apache Spark-based analytics platform optimized for Azure.
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Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. Harishga 3,580 Reputation points Microsoft Vendor
    2024-04-29T12:03:01.8666667+00:00

    Hi @Abhishek Tripathi
    Welcome to Microsoft Q&A platform and thanks for posting your question here.

    To read nested .xlsx files in Azure Data Factory, you need to make sure that all the files have the same structure and sheet name. Then, you can use a "wildcard path" to point to the files in your dataset. This tells Azure Data Factory to read all the files that match the pattern you specify.

    You can use the "Excel format" as a source in the following connectors: Amazon S3, Amazon S3 Compatible Storage, Azure Blob, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, Azure Files, File System, FTP, Google Cloud Storage, HDFS, Oracle Cloud Storage, and SFTP.

    Reference
    https://stackoverflow.com/questions/65906594/load-multiple-xlsx-from-blob-to-adf

    I hope this information helps you. Let me know if you have any further questions or concerns.

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