ADF Mapping Data Flows Training Slides V1
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Mapping Data Flow is a new feature of Azure Data Factory that allows users to build data transformations in a visual interface without code. It provides a serverless, scale-out transformation engine to transform data at scale in the cloud in a resilient manner for big data scenarios involving unstructured data. Mapping Data Flows can be operationalized with Azure Data Factory's scheduling, control flow, and monitoring capabilities.
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ADF Mapping Data Flows Training Slides V1
- 1. Azure Data Factory Mapping Data Flows MicrosoftTrainingv001
- 3. Mapping Data Flow is a new feature of Azure Data Factory that allows you to build data transformations code-free in a visual user interface • Transform at scale, in the cloud • Code-free pipelines do NOT require understanding of Spark / Scala / Python / Java • Serverless scale-out transformation execution engine • Resilient data transformation Flows built for big data scenarios with unstructured data requirements • Operationalized with Data Factory scheduling, control flow and monitoring
- 5. Stage Data in Azure (ADLS, Blob, SQL DB/DW) Transform Data in Visual Data Flow Land Data in Azure Staging Area (ADLS, Blob, SQL DB/DW)
- 8. Authoring and designing Mapping Data Flows
- 12. Mapping Data Flow Transformations
- 33. Mapping Data Flows Expressions
- 36. here
- 50. Operationalizing Mapping Data Flows
- 55. Mapping Data Flows Best Practices
- 59. Mapping Data Flow common scenarios
- 66. Mapping Data Flow Resources