Book Image

Scalable Data Analytics with Azure Data Explorer

By : Jason Myerscough
Book Image

Scalable Data Analytics with Azure Data Explorer

By: Jason Myerscough

Overview of this book

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 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. 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.
Table of Contents (18 chapters)
1
Section 1: Introduction to Azure Data Explorer
5
Section 2: Querying and Visualizing Your Data
11
Section 3: Advanced Azure Data Explorer Topics

Introducing KQL's management commands

Just like SQL has its Data Manipulation Language (DML) and Data Definition Language (DDL), KQL has them both, and they are referred to as the KQL management commands. The management commands allow us to manage our clusters, databases, and tables. For example, we can create, modify, and delete tables, get insights into our cluster configuration, and more. In this section, we will learn about some of the most useful management commands KQL provides. We will first look at cluster and database management commands and then we will learn about table management commands.

Cluster management

The first set of commands we will learn about are the cluster management commands. These commands provide cluster configuration and diagnostic information, which is helpful when troubleshooting issues.

The first command we will look at is .show cluster. The .show cluster management command returns a list of all nodes in the ADX cluster. As shown in Figure...