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.
Über den Autor
Jason Myerscough is a director of Site Reliability Engineering and cloud architect at Nuance Communications. He has been working with Azure daily since 2015. He has migrated his company's flagship product to Azure and 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 bachelor's degree with honors in software engineering and a first class master's degree in computing.
Klappentext
Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performancennnKey Features:Apply Azure Data Explorer best practices to manage your data at scale and reduce KQL execution timenDiscover how to query and visualize your data using the powerful KQLnManage cluster performance and monthly costs by understanding how to size your ADX cluster correctlynnnnnBook Deillegalscription:nAzure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.nThe 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 Kusto Query Language (KQL). 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.nBy 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.nnnWhat You Will Learn:Become well-versed with the core features of the Azure Data Explorer architecturenDiscover how ADX can help manage your data at scale on AzurenGet to grips with deploying your ADX environment and ingesting and analyzing your datanExplore KQL and learn how to query your datanQuery and visualize your data using the ADX UI and Power BInIngest structured and unstructured data types from an array of sourcesnUnderstand how to deploy, scale, secure, and manage ADXnnnnnWho this book is for:nThis 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.
