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Scalable Data Analytics with Azure Data Explorer

You're reading from  Scalable Data Analytics with Azure Data Explorer

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801078542
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Jason Myerscough Jason Myerscough
Profile icon Jason Myerscough

Table of Contents (18) Chapters

Preface Section 1: Introduction to Azure Data Explorer
Chapter 1: Introducing Azure Data Explorer Chapter 2: Building Your Azure Data Explorer Environment Chapter 3: Exploring the Azure Data Explorer UI Section 2: Querying and Visualizing Your Data
Chapter 4: Ingesting Data in Azure Data Explorer Chapter 5: Introducing the Kusto Query Language Chapter 6: Introducing Time Series Analysis Chapter 7: Identifying Patterns, Anomalies, and Trends in your Data Chapter 8: Data Visualization with Azure Data Explorer and Power BI Section 3: Advanced Azure Data Explorer Topics
Chapter 9: Monitoring and Troubleshooting Azure Data Explorer Chapter 10: Azure Data Explorer Security Chapter 11: Performance Tuning in Azure Data Explorer Chapter 12: Cost Management in Azure Data Explorer Chapter 13: Assessment Other Books You May Enjoy

Questions

Before moving on to the next chapter, test your knowledge by answering the following questions. The answers can be found at the back of the book:

  1. What is the difference between SLIs, SLOs, and SLAs?
  2. Configure a metrics dashboard to display the Blobs received metric and then import some data into your ADX cluster. What do you see?
  3. Try to implement monitoring alerts for an event hub's incoming and outgoing messages and set the severity to Informational since this is typically not an error.
  4. How many severity levels are there and what does each level mean?
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