Azure Data Factory Training: Designing and Implementing Data Integration Solutions

The Azure Data Factory Training: Designing and Implementing Data Integration Solutions course is designed for professionals who want to build scalable, secure, and high-performance data integration pipelines using Microsoft Azure. This course focuses on transforming raw, distributed data into reliable and actionable datasets that support analytics, reporting, and enterprise decision-making.

Participants will gain in-depth knowledge of Azure Data Factory (ADF) architecture, including linked services, datasets, pipelines, triggers, and integration runtimes. The training emphasises real-world scenarios such as data ingestion from on-premises and cloud sources, data transformation, orchestration, and automation across hybrid environments.

Beyond development, the course addresses performance optimisation, monitoring, error handling, security, and governance, ensuring learners can design production-ready data integration solutions. By aligning with modern data engineering and cloud best practices, this training prepares professionals to confidently implement enterprise-scale data workflows and supports progression toward advanced Azure data certifications.

Azure Data Factory Training Information:

In this Azure Data Factory course, you will learn how to:

• Build end-to-end ETL and ELT solutions using Azure Data Factory v2
• Architect, develop, and deploy sophisticated, high-performance, easy-to-maintain, and secure pipelines that integrate data from a variety of Azure and non-Azure data sources.
• Apply the latest DevOps best practices available for the ADF v2 platform.

Prerequisites:

Introduction to Cloud Infrastructure (AZ-900), or equivalent experience.