Azure Data Factory training course

​​​​​​​Azure Data Factory (ADF) is a cloud-based service for data integration. ADF is used to integrate disparate data sources from across your organization including data in the cloud and data that is stored on-premises. In this course, you will learn how to create data-driven pipelines to direct the movement of data. You will also be introduced to an alternative option to Azure Data Factory and that is using SSIS to work with your cloud resources. Once packages have been developed in SSIS you must choose between storing and executing those packages on-premises or in the cloud. You will then learn about the difference between hosting SSIS on-premises vs. Azure Lift and Shift.

• Create data-driven pipelines to direct movement of data and to integrate disparate data sources across your organization
• Working with Data Factory activities
• Difference between hosting SSIS on-premises vs. Azure Lift and Shift
• Triggers, monitoring and notification

“I liked the theory element of the course which gave me a good understanding of the role of databricks and a data factory and how they could be useful on my projects.”

JS, Data analyst 

“It was a very useful two days introduction to Azure and I thought the labs were really helpful to get some hands on experience using the tools. The trainer was very helpful and patient in helping with issues arising with the lab exercises.”

JM, Insights analyst