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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Length 574 pages
Edition 1st Edition
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Author (1):
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Newton Alex Newton Alex
Author Profile Icon Newton Alex
Newton Alex
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Azure Basics
2. Chapter 1: Introducing Azure Basics FREE CHAPTER 3. Part 2: Data Storage
4. Chapter 2: Designing a Data Storage Structure 5. Chapter 3: Designing a Partition Strategy 6. Chapter 4: Designing the Serving Layer 7. Chapter 5: Implementing Physical Data Storage Structures 8. Chapter 6: Implementing Logical Data Structures 9. Chapter 7: Implementing the Serving Layer 10. Part 3: Design and Develop Data Processing (25-30%)
11. Chapter 8: Ingesting and Transforming Data 12. Chapter 9: Designing and Developing a Batch Processing Solution 13. Chapter 10: Designing and Developing a Stream Processing Solution 14. Chapter 11: Managing Batches and Pipelines 15. Part 4: Design and Implement Data Security (10-15%)
16. Chapter 12: Designing Security for Data Policies and Standards 17. Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
18. Chapter 13: Monitoring Data Storage and Data Processing 19. Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing 20. Part 6: Practice Exercises
21. Chapter 15: Sample Questions with Solutions 22. Other Books You May Enjoy

Interpreting Azure Monitor metrics and logs

As we have seen in the introduction to Azure Monitoring, metrics and logs form the two main sources of data for monitoring. Let's explore how to view, interpret, and experiment with these two types of monitoring data.

Interpreting Azure Monitor metrics

The metrics data collected from Azure resources is usually displayed on the overview page of the resource itself, and more details are available under the Metrics tab. Here is an example again of how it looks for a storage account:

Figure 13.15 – Metrics data for a storage account

For each of the metrics, you can aggregate based on Sum, Avg, Min, and Max. The tool also provides the flexibility to overlay with additional metrics using the Add metric option, filter out unwanted data using the Add filter option, and so on. You can access the data for up to 30 days using this metrics explorer.

Let's next see how to interpret logs.

Interpreting...

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