IT Professional Curricula Internet and Network Technologies Solution Area Cloud Computing DP-100: Designing and Implementing a Data Science Solution on Azure
Being able to monitor data processes to ensure they are operational and working correctly is a crucial part of running your business. Azure provides the Azure Monitor and Azure Log Analytics services to perform this function.
In this course, you'll learn about the features of the Azure Monitor tools and the concepts of continuous monitoring and visualization. You'll explore how to create metric charts using the Azure Monitor, collect and analyze Azure resource log data, and perform queries against the Azure Monitor logs. Next, you'll examine how to create and share dashboards that display data from Log Analytics, create Azure Monitor alerts, and use the Azure Data Factory Analytics solution to monitor pipelines. Finally, you'll learn how to query Azure Log Analytics and filter, sort, and group query results.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.
In this course, you'll learn about the features of the Azure Monitor tools and the concepts of continuous monitoring and visualization. You'll explore how to create metric charts using the Azure Monitor, collect and analyze Azure resource log data, and perform queries against the Azure Monitor logs. Next, you'll examine how to create and share dashboards that display data from Log Analytics, create Azure Monitor alerts, and use the Azure Data Factory Analytics solution to monitor pipelines. Finally, you'll learn how to query Azure Log Analytics and filter, sort, and group query results.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.
| Objectives |
|---|
DP-100 - Azure Data Scientist Associate: Data Process Monitoring
|
