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

Summary

We have only scratched the surface with regard to monitoring and troubleshooting. Monitoring and Azure Monitor deserve their own book in order to do them any justice.

In this chapter, I began by introducing the concept of monitoring, discussing why monitoring is important and what SLIs, SLOs, and SLAs are. Then, I introduced the concept of troubleshooting and discussed my thought process and how I break down problems.

The rest of the book then focused on the key metrics and logs available to us for ADX and demonstrated how to enable diagnostics, and then we walked through an example and troubleshot an issue where data ingestion was not working.

Finally, we learned how to configure alerts for ingestion failures. We configured an action group that would send an email and an SMS whenever the ingestion failed.

In Chapter 10, Azure Data Explorer Security, we will learn how to secure our ADX clusters.