Azure Data Factory (ADF) is a hybrid data integration service that lets you build, orchestrate, and monitor complex and scalable data pipelines - without writing any code! The first version of Azure Data Factory may not have lived entirely up to its nickname "SSIS in the Cloud," but the second version has been drastically improved and expanded with new capabilities.
But wait, what's that? You have already invested years and millions in a comprehensive SSIS solution, you say? No problem! You can lift and shift your existing SSIS packages into Azure Data Factory to start modernizing your solution while retaining the investments you have already made.
In this session, we will first go through the fundamentals of Azure Data Factory and see how easy it is to build powerful data pipelines or migrate existing SSIS packages. Then, we will explore some of the major improvements in Azure Data Factory v2, including Mapping and Wrangling Data Flows for creating visual data transformations. Finally, we will look at how to trigger and schedule our packages or pipelines, and how to monitor our solution once it has been deployed.
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