YOUR LINK HERE:
http://youtube.com/watch?v=ySvg0lTmdlY
Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop data transformation logic without writing code. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Apache Spark clusters. Data flow activities can be operationalized using existing Azure Data Factory scheduling, control, flow, and monitoring capabilities. • Mapping data flows provide an entirely visual experience with no coding required. Your data flows run on ADF-managed execution clusters for scaled-out data processing. Azure Data Factory handles all the code translation, path optimization, and execution of your data flow jobs. • 00:00 Introduction -Agenda of Demo • 01:30 Create a data factory • 04:32 Build a mapping data flow with four transformations. • 11:00 Create a pipeline with a Data Flow activity. • 11:30 Test run the pipeline. • 11:45 Monitor a Data Flow activity • Please follow and ask any question to our linkedin profile and twitter or our web site and we will try to help you with answer. • Linkedin • / softwizcircle • twitter • / soft_wiz • website • FB • / softwiz-circle-113226280507946 • Here Group of People are sharing their Knowledge about Software Development. They are from different Top MNC. We are doing this for community. It will help student and experience IT Pro to prepare and know about Google, Facebook, Amazon, Microsoft, Apple, Netflix etc and how these company works and what their engineer do. • They will share knowledge about Azure, AWS , Cloud, Python, Java,.Net and other important aspect of Software Development.
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