Scalable Data Analytics with Azure Data Explorer Modern ways to query, analyze and perform real-time data analysis

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 reduce KQL execution

Discover how to query and visualize your data using the powerful KQL

Manage cluster performance and monthly costs by understanding how to size your ADX cluster correctly

Book Description

Azure 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.

The book bs 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 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

Become well-versed with the core features of the Azure Data Explorer architecture

Discover how ADX can help manage your data at scale on Azure

Get to grips with deploying your ADX environment and ingesting and analyzing your data

Explore KQL and learn how to query your data

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 eeers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps eeers 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.

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

Introducing 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