Overview
In this 6-hour course, you will learn the fundamentals of Azure Data Factory by building a metadata-driven ingestion framework. Through hands-on projects and practical examples, you will gain skills to design, implement, and manage dynamic data pipelines, preparing you for real-world data engineering tasks.
What I will be able to do after this course
- Master the basics of Azure Data Factory and Azure Blob Storage.
- Understand how to create and leverage metadata-driven data ingestion frameworks.
- Learn to design dynamic pipelines and set up email notifications with Azure Logic Apps.
- Gain insights into operational monitoring with pipeline tracking and batch run auditing.
- Integrate version management practices using Azure DevOps for data projects.
Course Instructor(s)
David Mngadi, an experienced data engineer and educator, leads this course with a structured and engaging approach. David has extensive experience using Azure tools for industry applications and is passionate about simplifying complex topics for students. His teaching method focuses on practical understanding and real-world applications, ensuring you gain confident, actionable skills.
Who is it for?
This course is perfect for aspiring and beginner data engineers, developers, or anyone interested in learning Azure Data Factory. No prior experience with Azure is required, making it ideal for learners new to the platform. If you're seeking actionable skills to enhance data engineering tasks and build reusable, dynamic data pipelines, this course is for you.