In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination.
Create Mapping Data Flows in Azure Data Factory
Instructor: Priya Jha
Access provided by ARS SCINet/AI-COE
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
Skills you'll practice
Details to know
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Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
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- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction and create an azure data factory
Create a storage account and upload source files to the blob containers
Use select transformation in mapping data flow
Practice activity: Apply select transformation to rename, drop and reorder the column
Use derived column transformation in mapping data flow
Use join transformation in mapping data flow
Use conditional split transformation in mapping data flow
Use filter and sort transformation in mapping data flow
Create a simple mapping data flow in azure data factory
Cumulative Challenge Task: Create a mapping data flow to get the details of the male customers with their age sorted in an ascending order
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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