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8. Data Visualization with Azure Data Explorer and Power BI

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Scalable Data Analytics with Azure Data Explorer is available from:
This is the “Code in Action” video for chapter 8 of Scalable Data Analytics with Azure Data Explore by Jason Myerscough, published by Packt. It includes the following topics:
00:11 Calculating moving averages with KQL
03:46 Trend analysis with KQL
05:43 Anomaly detection and forecasting with KQL
This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps engineers who deploy, maintain, and secure infrastructure will also find this book useful. Prior knowledge of Azure and basic data querying will help you to get the most out of this book.
Connect with Packt:
Video created by Jason Myerscough
This is the “Code in Action” video for chapter 8 of Scalable Data Analytics with Azure Data Explore by Jason Myerscough, published by Packt. It includes the following topics:
00:11 Calculating moving averages with KQL
03:46 Trend analysis with KQL
05:43 Anomaly detection and forecasting with KQL
This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps engineers who deploy, maintain, and secure infrastructure will also find this book useful. Prior knowledge of Azure and basic data querying will help you to get the most out of this book.
Connect with Packt:
Video created by Jason Myerscough
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