Home Specialist skills Technology and Software Azure Data Factory : Streamlining Data Pipelines for the Cloud
Azure Data Factory : Streamlining Data Pipelines for the Cloud
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Navigate the Azure Portal and set up necessary Azure resources for data integration
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Create and manage Azure Data Factory pipelines and associated activities
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Utilize various activities to perform data movement and transformation tasks
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Understand and configure datasets and integration runtimes
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Implement data flows to transform and load data efficiently
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Monitor pipeline executions and set up triggers for automated workflows.
Overview
Off the shelf (OTS)
This course is designed for professionals such as data engineers, data analysts, business intelligence developers, and others who are responsible for creating data-driven pipelines to direct the movement of data and integrate disparate data sources across their organization.
No prior experience with Azure Data Factory is required; however, familiarity with data integration concepts and tools is beneficial.
The Azure Data Factory Training Course provides a comprehensive introduction to Microsoft's Azure Data Factory, focusing on building data-driven pipelines for data integration. Participants will explore the Azure Portal, learn to create and manage pipelines, work with various activities and datasets, and understand how to monitor and trigger data workflows effectively.
Key Topics Covered:
• Navigating the Azure Portal and setting up Azure resources
• Creating and managing Azure Data Factory pipelines
• Working with activities: Copy, Get Metadata, Stored Procedure, Lookup, If Condition, ForEach, and Filter
• Understanding datasets and integration runtimes
• Implementing data flows: source, transformations, and sink
• Monitoring pipeline executions and configuring triggers
The course is delivered over two days and includes hands-on exercises to reinforce learning.
Delivery method
Virtual
Course duration
14 hours
Competency level
Working

Delivery method
-
Virtual
Course duration
14 hours
Competency level
-
Working
