Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performance Key Features * Apply Azure Data Explorer best practices to manage your data at scale and improve KQL execution time * Discover how to query and visualize your data using the powerful KQL * Manage your cluster performance and monthly ADX costs by understanding how to size your ADX clusters correctly Book Description 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. What you will learn * Understand the basics and core features of Azure Data Explorer architecture * Find out how Azure Data Explorer can help you to manage your data at scale on Azure * Deploy your ADX environments and learn how to ingest and start analyzing your data * Get well-versed with Kusto Query Language (KQL), the power query language for exploring your data and detecting patterns * Query and visualize your data using the ADX UI and Power BI * Ingest structured and unstructured data types from an array of sources * Understand how to deploy, scale, secure, and manage ADX Who This Book Is For This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying your 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 Azure knowledge and basic data querying will be helpful in getting the most out of this book. Table of Contents * 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 * 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

Book Information
ISBN 9781801078542
Author Jason Myerscough
Format Paperback
Page Count 312
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 75g