Microsoft Azure Data Factory

4.86(2,039 Ratings)

Duration

5 Days

Upcoming Batch

28 December 2026 - 01 January 2027

Batch Options

8 hours & 4 hours

Language

English / Arabic

Microsoft Azure Data Factory

Microsoft Azure Data Factory is a comprehensive data integration service designed to simplify the process of orchestrating and automating the movement and transformation of data. This course offers a deep dive into the functionalities and features of Azure Data Factory, providing participants with the knowledge and skills needed to build, manage, and monitor data pipelines. Students will explore the various components of Azure Data Factory, including linked services, datasets, and activities, and learn how to create end-to-end data workflows that integrate seamlessly with other Azure services. Through hands-on labs and real-world scenarios, participants will gain practical experience in designing and implementing data solutions that meet their organization’s needs. By the end of this course, students will be equipped with the expertise to leverage Azure Data Factory for efficient data integration and management in a cloud environment.

Course Content

13 modules · 33 topics

01Module 1: Introduction to Azure Data Factory (ADF)4 topics

Overview of ADF
Objectives and Scenarios for using ADF
Authoring ADF Pipelines
Introduction to Source Control in ADF

02Module 2: Copy Activities and Connectors4 topics

Copy Activity in ADF
Copy Data Tool in ADF
Connecting to Different Data Sources
Creating Linked Services

03Module 3: Transformation and Control Flow3 topics

Identify and explain different transformation activities
On-Demand vs BYO Compute environments
Controlling flow of activities in the pipeline

04Module 4: Azure Data Factory CI/CD 1 topic

Connecting ADF to DevOps Release pipelines

05Module 5: Mapping Data Flow 4 topics

Introduction to Mapping Data Flow (MDF)
Debugging in MDF
Introduction to MDF Expression Builder
Scenarios for using Mapping Data Flow

06 Module 6: Security and Monitoring 4 topics

Security in ADF and integration with Azure Security
Securely storing credentials for ADF
Using ADF Integration Runtimes
Monitoring ADF within the ADF and Azure Portal

07Module 7: Error Handling and Logging in ADF 2 topics

Best practices for error handling in ADF pipelines
Configuring logging and monitoring for better troubleshooting

08Module 8: Advanced Pipeline Orchestration2 topics

Use of triggers for scheduling and automating pipelines
Pipeline dependency management and execution order

09Module 9: Performance Optimization2 topics

Techniques for optimizing data movement and transformation performance
Monitoring and optimizing data integration pipelines for efficiency

10Module 10: Data Governance and Compliance2 topics

Implementing data governance policies in ADF
Ensuring compliance with data protection regulations

11Module 11: Integration with Azure Services1 topic

Integrating ADF with other Azure services

12 Module 12: Advanced Mapping Data Flow Features 2 topics

Advanced usage of Mapping Data Flow transformations
Handling complex data transformations and scenarios

13Module 13: Hybrid Cloud Scenarios2 topics

Implementing ADF in hybrid cloud environments
Connecting on-premises data sources with ADF pipelines

Schedule Dates

4 upcoming batches

Session Type

Physical sessions run at our training facility.

Microsoft Azure Data Factory
Batch Dates	Duration	Batch Options	Language
28 December 2026 - 01 January 2027Next	5 Days	8 hours & 4 hours	English / Arabic
29 March 2027 - 02 April 2027	5 Days	8 hours & 4 hours	English / Arabic
05 July 2027 - 09 July 2027	5 Days	8 hours & 4 hours	English / Arabic
11 October 2027 - 15 October 2027	5 Days	8 hours & 4 hours	English / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What are the prerequisites for this course?

Basic knowledge of data management concepts and experience with cloud platforms are recommended. Familiarity with Azure services and general data warehousing principles will also be beneficial.

In which sector does a certified DP-203 Azure Data Engineer mainly work?

Azure Data Engineers work in IT companies, banks, government, healthcare, retail, telecom, and any organization that uses cloud data systems.

Is there any certification associated with this course?

Yes. After completing the training, you can take the DP-203 exam to earn the Microsoft Azure Data Engineer Associate certification.

What topics does DP-203T00 cover?

The course covers data storage, data processing, data pipelines, Spark pools, Synapse Analytics, streaming data, and data governance in Azure.

How can I enroll in the course?

To enroll, visit the CounselTrain website and follow the registration process. For further assistance, you can contact our support team.

What industries benefit from Azure Data Factory?

Azure Data Factory is beneficial across various industries, including finance, healthcare, retail, and technology. It helps organizations with data integration, management, and analytics, driving efficient data-driven decision-making.

This course includes:

Soft copy of Courseware
Certificate of Course Completion
Experienced and Professional Trainer
Lab and Exercises During Training
Sample Questions for Exam Preparation
Mock Test on the Last Day of Training
Exam Registration Guidance
5-Star Training Environment

Upcoming Batch

28 December 2026 - 01 January 2027

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