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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 1. Section 1: Introduction to Azure Data Explorer
2. Chapter 1: Introducing Azure Data Explorer 3. Chapter 2: Building Your Azure Data Explorer Environment 4. Chapter 3: Exploring the Azure Data Explorer UI 5. Section 2: Querying and Visualizing Your Data
6. Chapter 4: Ingesting Data in Azure Data Explorer 7. Chapter 5: Introducing the Kusto Query Language 8. Chapter 6: Introducing Time Series Analysis 9. Chapter 7: Identifying Patterns, Anomalies, and Trends in your Data 10. Chapter 8: Data Visualization with Azure Data Explorer and Power BI 11. Section 3: Advanced Azure Data Explorer Topics
12. Chapter 9: Monitoring and Troubleshooting Azure Data Explorer 13. Chapter 10: Azure Data Explorer Security 14. Chapter 11: Performance Tuning in Azure Data Explorer 15. Chapter 12: Cost Management in Azure Data Explorer 16. Chapter 13: Assessment 17. Other Books You May Enjoy

Technical requirements

If you do not already have an Azure account, head over to https://azure.microsoft.com/en-us/free/search/ and sign up. Microsoft provides 12 months of popular free services and $200 credit, which is enough to cover the cost of our Azure Data Explorer journey with this book. Microsoft also provides a free to use cluster (https://help.kusto.windows.net/) that is already populated with data. We will use this free cluster and create our own clusters throughout this book.

Please remember to clone or download the Git repository that accompanies the book from https://github.com/PacktPublishing/Scalable-Data-Analytics-with-Azure-Data-Explorer. All the code and query samples listed in the book are available in our repository. Download the latest version of Git from https://git-scm.com if you have not already installed the command-line tools.

Important Note

When developing and cloning repositories, I create a development folder in my home directory. On Windows, this is C:\Users\jason\development. On macOS, this is /Users/jason/development. When referencing specific code examples, I will refer to the repository's parent directory as ${HOME}, for example, ${HOME}/Scalable-Data-Analytics-with-Azure-Data-Explorer/Chapterxx/file.kql.

You have been reading a chapter from
Scalable Data Analytics with Azure Data Explorer
Published in: Mar 2022 Publisher: Packt ISBN-13: 9781801078542
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