Any cloud provider that believes in data gravity is trying to make it easier to collect and store data in their facilities. To make data movement between cloud and on-premises endpoints easier, Microsoft recently announced the general availability of Azure Data Factory (ADF). However, this pay-per-use service is being positioned as part of Microsoft’s analytics suite, not as a pure-play Extract Transform Load (ETL) tool.

In a post earlier this month on Microsoft’s Machine Learning blog, Microsoft VP Joseph Sirosh described ADF and explained the benefits of the service.

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