An Azure service that provides an enterprise-wide hyper-scale repository for big data analytic workloads and is integrated with Azure Blob Storage.
Hi @Anonymous ,
Thank you for posting query in Microsoft Q&A Platform.
Files in storage account will get replace or override when you save new data with same name. Hence appending or incrementally loading file with same is not possible.
You can consider storing new data as another name may be with timestamp values in it. So that all data with different timestamp loads will be available in different files.
Once all your data is available in different files then you can consider using Union transformation inside dataflows to merge all data in to single set and load as sink file.
Kindly check below video to know how Union transformation will work.
https://www.youtube.com/watch?v=vFCNbHqWct8
Hope this helps. Please let us know if any further queries.
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