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Azure Data Factory
Mapping Data Flows
MicrosoftTrainingv001
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​
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)
Authoring and designing Mapping Data Flows
Mapping Data Flow Transformations
Mapping Data Flows Expressions
here
Operationalizing Mapping Data Flows
Mapping Data Flows Best Practices
https://aka.ms/dfperf
https://mssqldude.wordpress.com/2018/12/20/adf-data-flows-self-join/
Mapping Data Flow common scenarios
Mapping Data Flow Resources
adfdataflowext@Microsoft.com
https://aka.ms/dflinks

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