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The data landscape is more varied than ever with unstructured and structured data originating from many cloud and on-premises sources. Data Factory enables you to process on-premises data like SQL Server, together with cloud data like Azure SQL Database, Blobs, and Tables. These data sources can be composed, processed, and monitored through simple, highly available, fault-tolerant data pipelines.
Combining and shaping complex data can take more than one try to get it right, and changing data models can be costly and time consuming. Using Data Factory you can focus on transformative analytics while the service 'takes care of the plumbing'.
This session will help you jumpstart on understanding Data Factory capabilities, and the scenarios where Data Factory can be applied.
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