Scalable Data Analytics with Azure Data Explorer
Developers working with large amounts of data on Azure, including App Insights and Log Analytics, will be able to put their knowledge to work with this practical guide. The book focuses on Azure Data Explorer, covering topics such as data ingestion from multiple sources and querying and generating reports to make data-driven decisions.
Offered by
Difficulty Level
Intermediate
Completion Time
12h8m
Language
English
About Book
Who Is This Book For?
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.
Scalable Data Analytics with Azure Data Explorer
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h8m total length
Introducing Azure Data Explorer
Building Your Azure Data Explorer Environment
Exploring the Azure Data Explorer UI
Ingesting Data in Azure Data Explorer
Introducing the Kusto Query Language
Introducing Time Series Analysis
Identifying Patterns, Anomalies, and Trends in Your Data
Data Visualization with Azure Data Explorer and Power BI
Monitoring and Troubleshooting Azure Data Explorer
Azure Data Explorer Security
Performance Tuning in Azure Data Explorer
Cost Management in Azure Data Explorer
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