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In this article we will characterize why adls gen2 is the way forward, describe what an adls gen1 migration life cycle looks like, detail the options you have for conducting a successful migration, and call out any underlying nuances, best practices and concerns for each option. The pipeline has been working for 2 months, then it stop working yesterday afternoon. Sftp is a feature which is supported for azure blob storage with hierarchical namespace (adls gen2 storage account)

As documented, the permission system used by sftp feature is different from normal permission system in azure storage account The pipeline try to create a folder on azure data storage (adls gen2) but it failed to create the folder so the next flow cannot locate the folder It’s using a form of identity management called local users.

To use adls gen2 storage as mount source, just replace the storage account name, access key, and sas token in the mount step

You may reuse the blob endpoint (blob.core.windows.net). Create linked service for adls gen 2 (external data source) and azure synapse analytics Create dataset for source external file in adls and sink table in synapse db Create a pipeline and use copy activity to copy data from adls to synapse database

Set the source and sink dataset in copy activity and enable the staging. Azure data factory mapping data flow pipeline is triggered on schedule to process the data from storage and load to azure synapse sql dedicated pool as well as adls gen2 in parquet format. Build dashboard using power bi integration in azure synapse, for now, we have in synapse linked adls which includes metadata (delta files), and we would like to build a dashboard. Planned failover supports blob, adls gen2, table, file and queue data

Key differences between our customer managed (unplanned) failover and planned failover are highlighted below:

Azure data lake storage gen2 (adls gen2) is a set of capabilities dedicated to big data analytics, built on azure blob storage, so it supports azure blob storage api while also has its own file system api. Copy data from adls gen 2 to stage table in azure sql db The next step is to load the data from adls gen 2 into a staging table to prep to perform the incremental processing The staging table allows for temporary data to be stored and leverage the full compute power of the azure sql db, as well as maintaining more control over the processing.

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