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Cloud Scale Analytics with Azure Data Services

You're reading from   Cloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Length 520 pages
Edition 1st Edition
Tools
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Author (1):
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Patrik Borosch Patrik Borosch
Author Profile Icon Patrik Borosch
Patrik Borosch
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Data Warehousing and Considerations Regarding Cloud Computing
2. Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses FREE CHAPTER 3. Chapter 2: Connecting Requirements and Technology 4. Section 2: The Storage Layer
5. Chapter 3: Understanding the Data Lake Storage Layer 6. Chapter 4: Understanding Synapse SQL Pools and SQL Options 7. Section 3: Cloud-Scale Data Integration and Data Transformation
8. Chapter 5: Integrating Data into Your Modern Data Warehouse 9. Chapter 6: Using Synapse Spark Pools 10. Chapter 7: Using Databricks Spark Clusters 11. Chapter 8: Streaming Data into Your MDWH 12. Chapter 9: Integrating Azure Cognitive Services and Machine Learning 13. Chapter 10: Loading the Presentation Layer 14. Section 4: Data Presentation, Dashboarding, and Distribution
15. Chapter 11: Developing and Maintaining the Presentation Layer 16. Chapter 12: Distributing Data 17. Chapter 13: Introducing Industry Data Models 18. Chapter 14: Establishing Data Governance 19. Other Books You May Enjoy

Monitoring your streaming solution

As seen in Figure 8.9, you can see some information already on the Overview page of your ASA job. If you navigate to the Monitoring section of your ASA job, you can get further insights into your job.

In the Logs section, for example, you are presented with a list of predefined queries that will produce insights into all kinds of errors that can occur when you are running your ASA job:

Figure 8.16 – Available error queries in the Logs section

If you proceed to Metrics, you are taken to a chart editor where you can select from the available ASA metrics:

Figure 8.17 – ASA metrics view

You have metrics such as backlogged input events, data conversion errors, early input events, and failed function requests. This section will give you a deep insight into your ASA job.

If you want to set up alerts for your ASA job, such as the SU percentage utilization, for example (remember the Understanding...

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