17. Azure Data Factory Mapping Data Flow Tutorial for Beginners In Telugu #dataengineering
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📝 Description
A tutorial focusing on the introduction to Azure Data Factory (ADF) Mapping Data Flow, presented in the Telugu language. The content outlines what Mapping Data Flow is, its significance, and the distinctions between it and the Copy Activity within ADF. It covers real-time ETL use cases, the advantages of using this feature, and emphasizes Spark processing capabilities without requiring coding.
The session details several major transformations available within Mapping Data Flow, including Conditional Split, Aggregate, Derived Column, Join, Lookup, Window, Surrogate Key, Schema Drift, Filter, Sort, and Union. The material is directed toward beginners in Azure Data Factory, data engineers, ETL developers, and individuals learning Azure Synapse or cloud data engineering concepts.
The video serves as an instructional resource for understanding data transformation capabilities within the Azure cloud environment.
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