Create Mapping Data Flows in Azure Data Factory

Create Mapping Data Flows in Azure Data Factory

Create Mapping Data Flows in Azure Data Factory Taught in English Instructor: Priya Jha Included with • Learn more Guided Project Learn, practice, and apply job-ready skills with expert guidance Beginner level No prior experience required 1.5 hours Learn at your own pace No downloads or installation required Only available on desktop Hands-on learning Learn

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Description

Creating mapping data flows ‍in Azure Data Factory ‍is a‍ powerful feature that allows users to transform and manipulate data in a visually intuitive way.‍ Mapping data flows provide a graphical interface to define complex data transformations and extract, ‌transform, and load (ETL) processes.

To ⁤create mapping data flows in⁢ Azure Data Factory, users can navigate to the Data Flows section in the Azure Data Factory interface. From there, users can⁣ create a new data flow⁤ and add data flow sources, transformations, and ⁢sinks to⁤ define the data flow logic.

Data flow sources in Azure Data Factory can include various data sources such as Azure Blob Storage, Azure SQL Database, and SQL Server. Users can select the desired data source and configure the data flow ‌source settings to define ⁣the input data for the mapping data flow.

Transformations

Create Mapping Data Flows in Azure Data Factory

Taught in English

Priya Jha

Instructor: Priya Jha

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level
No prior experience required
1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you’ll learn

  • Learn to create azure data factory and azure storage accounts

  • Learn to create mapping data flow in the Azure data factory

  • Learn to work with basic data flow transformations like – select, filters, sort, joins ,derived columns and conditional split transformations

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