Microsoft Azure Data Factory

Course Overview

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.

Schedule Dates

Microsoft Azure Data Factory

25 November 2024 - 29 November 2024

Microsoft Azure Data Factory

03 March 2025 - 07 March 2025

Microsoft Azure Data Factory

09 June 2025 - 13 June 2025

Microsoft Azure Data Factory

15 September 2025 - 19 September 2025

Course Content

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

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

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

Connecting ADF to DevOps Release pipelines

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

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

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

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

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

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

Integrating ADF with other Azure services

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

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

FAQs

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.

You will gain practical skills in data integration and workflow management using Azure Data Factory. The course covers data pipeline design, data movement and transformation, security, and performance optimization.

Yes, the course includes practical hands-on labs and projects that allow you to apply the concepts learned to real-world scenarios and build data solutions using Azure Data Factory.

Yes, upon successful completion of the course and all associated assessments, you will receive a certificate from CounselTrain, validating your expertise in Microsoft Azure Data Factory.

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

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.