ADF Mapping Data Flows Training Slides V1

Aug 28, 2019Download as PPTX, PDF7 likes1,624 views

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.

Azure Data Factory
Mapping Data Flows
MicrosoftTrainingv001

ADF Mapping Data Flows Training Slides V1

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

https://aka.ms/dfperf

https://mssqldude.wordpress.com/2018/12/20/adf-data-flows-self-join/

adfdataflowext@Microsoft.com
https://aka.ms/dflinks

Azure Data Factory Mapping Data Flow allows users to stage and transform data in Azure during a limited preview period beginning in February 2019. Data can be staged from Azure Data Lake Storage, Blob Storage, or SQL databases/data warehouses, then transformed using visual data flows before being landed to staging areas in Azure like ADLS, Blob Storage, or SQL databases. For information, contact [email protected] or visit http://aka.ms/dataflowpreview.

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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

56. https://aka.ms/dfperf

58. https://mssqldude.wordpress.com/2018/12/20/adf-data-flows-self-join/

59. Mapping Data Flow common scenarios

66. Mapping Data Flow Resources

67. [email protected] https://aka.ms/dflinks