Azure Data Factory is an extract-transform-load (ETL) service in Microsoft Azure for data integration and data transformation. In this lab challenge, you must build an Azure Data Factory Pipeline to accomplish the given objectives. You will be given access to the Azure Portal and to a data factory instance. You will use the Data Factory UI to build the pipeline that meets the requirements. The result of the pipeline run will be assessed to ensure the requirements are met.
Warning: Currently, Data Factory UI is only officially supported by Microsoft Edge and Google Chrome web browsers. It is also recommended to use incognito mode to avoid conflicts with other Microsoft accounts impacting Data Factory UI.
- Experience with Azure Data Factory (the Using Azure Data Factory Pipelines to Copy Data Cloud Academy lab is recommended)
- Candidates for Microsoft Azure Data Engineering Certifications
- Data Engineers
- Azure Data Factory skills including linked services, datasets, pipelines, and triggers
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.