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

Monitoring ADX

During my time using the Azure platform, one of the areas I have seen make a lot of changes is monitoring and security. Almost every resource type has monitoring and security options in their properties panel. In Chapter 10, Azure Data Explorer Security, we will look at the security options, but for now, let's focus on the monitoring aspects.

Azure Service Health

Before jumping into metrics and logging, I think it is worth mentioning the Service Health blade. From my experience, not a lot of people are aware of the Service Health blade and what it offers. The Service Health blade offers a high-level overview of historical issues, current issues, planned maintenance, and security advisories. Another nice feature is that Microsoft posts its root cause analysis (RCA) reports here. The RCA reports provide a detailed description and timeline for issues, along with mitigation steps and follow-up action. The Service Health blade is one of the first things I check...