The hands-on lab is part of this learning path
Ready for the real environment experience?
Azure Data Factory (ADF) is a cloud-based ETL and data integration service that allows you to create data-driven workloads for orchestrating the data movement and transforming data at scale. The capabilities of ADF include the data transformation with intelligent intent-driven mapping that automates the copy activities and allows you to prepare and construct the ETL process pipeline code-free.
In this hands-on lab, you will provision a monitoring solution for the ADF resource using Azure Log Analytics and Log solution.
Upon completion of this intermediate-level lab, you will be able to:
- Create Azure Log Analytics workspace
- Configure Diagnostic settings for Azure Data Factory
- Create and review a Log Solution for the Azure Data Factory
- Setup Monitor Alerts for Azure Data Factory
- Candidates for Data Engineer Exam (DP-203)
- Cloud Architects
- Data Engineers/Analysts
- DevOps Engineers
- Software Engineers
Familiarity with the following will be beneficial but is not required:
- Azure Data Factory
- Azure Monitor
- Azure Log Analytics
The following course and labs can be used to fulfill the prerequisite:
Parveen is an Azure advocate with previous experience in the professional consulting services industries. He specializes in infrastructure and DevOps with a wide range of knowledge in security and access management. He is also an Azure Certified - DevOps Engineer Expert, Security Engineer, Developer Associate, Administrator Associate, CompTIA Certified - Network+, Security+, and AWS Cloud Practitioner.
Parveen enjoys writing about cloud technologies and sharing the knowledge with the community to help students upskill in the cloud.