Unlocking Seamless Data Integration in the Cloud with Azure Data Factory | TO THE NEW Blog

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In today’s data-driven world, managing and transforming data from various sources is a very cumbersome task for organizations. Suppose we have a storage account in which users upload all sorts of data, such as CSVs, images, HTML or text files, etc. Select source linked service, browse the file path, and click on OK. Repeat the same steps for the destination dataset. For this task we’ll be using the “For Each” activity.Under the settings, for the items click on “Add dynamic content” and select the filter activity’s output value. One can achieve a lot using ADF, whether you’re modernizing legacy systems, building new data workflows, or scaling your analytics capabilities.

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