Your Azure data factory sink might not work as expected, have you not considered these settings already
ADF is a very convinient way of moving data from external system to Azure SQL storages (Azure SQL, Azure MySQL, Azure cosmos DB, Cassandra: not to mention blob, table and file systems), without writing any code. In fact dataflows are so convinent ways of handling data, that it definitely does have an upperhand as compared to Azure Synapses, where you need to write a lot of staff in Python on JuPyter Notebook to instigate the cleaning and transformation processes. However your ADF dataflows could fail very weirdly, if you have not considered these options. These happen typically when any of your Source/sink involves an Azure SQL connection: A. Missing property error: Your piepline gave a nasty error as: What?!!! Wait -- I have validated the pipeline and published everything without any errors. Even then, why on earth, did it happen? Solution : While creating the sink/source Linked Service, you need to select 'Legacy' instead of 'Recommended' in Version par...