Scalable Data Analytics with Azure Data Explorer

By Jason Myerscough
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About this book

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you gain insights rapidly from your applications by querying data at scale and implementing best practices to secure your ADX clusters.

The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful KQL query language. Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.

By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

Publication date:
February 2022
Publisher
Packt
Pages
312
ISBN
9781801078542

About the Author

  • Jason Myerscough

    Jason Myerscough is a Manger & Cloud Solution Architect at Nuance Communications. He has been working with Azure daily for the last 6 years. He has migrated his company's flagship product to Azure, designed the environment to be secure and scalable across 16 different Azure regions by applying cloud best practices and governance. He is currently certified as an Azure Administrator (AZ-103) and an Azure DevOps Expert (Az-400). He holds a first-class honors Bachelor degree in Software Engineering and a First class Master’s degree in Computing.

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Scalable Data Analytics with Azure Data Explorer
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