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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 trying these exercises. The answers can be found at the back of the book.

  1. Write a query for our EnglishPremierLeague data and aggregate the number of matches refereed by each referee.
  2. What is the main difference between the search and where operators?
  3. Aggregate all the event types in the StormEvents table for California and render the results as a column chart.
  4. Which type of join should you use if you want to include duplicate common column matches in the result set?
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