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When should you choose Azure Data Factory?

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One should consider using Data Factory-

When working with big data, there is a need for a data warehouse to be implemented; you might require a cloud-based integration solution like ADF for the same.

Not all team members are experienced in coding and may prefer graphical tools to work with data.

When raw business data is stored at diverse data sources, which can be on-prem and on the cloud, we would like to have one analytics solution like ADF to integrate them all in one place.

We would like to use readily available data movement and processing solutions and be light regarding infrastructure management. So, a managed solution like ADF makes more sense in this case.
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