Data Engineering on Microsoft Azure: Data Process Monitoring
Azure
| Intermediate
- 15 videos | 1h 31m 11s
- Includes Assessment
- Earns a Badge
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 service and the Azure Log Analytics service 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. Next, you'll examine how to create metric charts using the Azure Monitor, as well as how to collect and analyze Azure resource log data and perform queries against the Azure Monitor logs. You'll explore 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. You'll learn how to send the Azure Databricks logs to the Azure Monitor and use the dashboard to analyze the Azure Databricks metrics. Finally, you'll learn how to enable monitoring for Azure Stream Analytics and configure alerts, and also query Azure Log Analytics and filter, sort, and group query results. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Describe the features of the azure monitor tools and the concepts of continuous monitoring and visualization
Create metric charts using the azure monitor
Collect and analyze azure resource log data
Perform queries against the azure monitor logs
Create and share dashboards that display data from log analytics
Describe the features of azure hdinsight for ingesting, processing, and analyzing big data
Use the azure data factory analytics solution to monitor pipelines -
Describe how to monitor and tune query performance
Query azure log analytics and filter, sort, and group query results
Describe how to implement versioning control in azure data factory
Describe how to monitor cluster performance
Describe how to implement logging for custom monitoring
Archive data from a log analytics workspace to azure storage using logic app
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 52s
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6m 49s675b4b06-e20b-4347-aa9e-670832a7106d FREE ACCESS
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3. Creating Azure Monitor Metrics6m 58s75e8f338-3a40-441b-927c-d0af9a170f9d FREE ACCESS
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4. Analyzing Azure Resource Logs5m 13s07f8aafc-88a0-40c1-853a-65e44304d7a4 FREE ACCESS
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5. Querying Azure Monitor Logs7m 29sca97e275-278e-47ca-bc74-066552a5153e FREE ACCESS
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6. Creating Log Analytics Dashboards6m 1see96d49d-2245-4eda-aec3-9fdeab4597a0 FREE ACCESS
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7. Azure HDInsight6m 44se32184a6-b1cf-44ff-b214-e3bfe781b795 FREE ACCESS
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8. Monitoring Data Factory Pipelines9m 40s183806bc-43dd-4f19-a085-a58139f07864 FREE ACCESS
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9. Monitoring and Tuning Query Performance10m 32sfe2a9bb0-173b-4b9c-8cbb-102069c781b8 FREE ACCESS
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10. Monitoring Azure Log Analytics6m 58sc46ebdd2-7cff-4aba-a959-7f97380c7706 FREE ACCESS
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11. Azure Data Factory Version Control5m 10sa05dace8-4a2d-4de6-8d7e-4e46c10372da FREE ACCESS
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12. Azure Monitor Cluster Monitoring4m 30s454739d8-b288-4dcb-8b2d-0fa9e57925a7 FREE ACCESS
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13. Azure Monitor Custom Logging5m 55s6b247384-03c4-4025-80a9-c34afddd048f FREE ACCESS
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14. Azure Monitor Logic App6m 25s93c981f8-43cf-4923-b13e-c8859f7b61f1 FREE ACCESS
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15. Course Summary57s35ce61b7-b8be-42b0-9d82-f63098b16fcf FREE ACCESS
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