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 queries

At the beginning of this chapter, in the Introducing performance tuning section, we learned that performance tuning is a process and that one of the steps is to identify the root cause of performance bottlenecks. We also saw in Chapter 9, Monitoring and Troubleshooting Azure Data Explorer, that the ADX Insights page in the Azure Portal provides out-of-the-box dashboards for performance and other telemetry, which is are very useful.

We can use KQL management commands to view all the commands and queries that have been executed by our ADX cluster. These KQL management commands provide valuable insights into CPU consumption, query execution duration, the query/command being executed, and the state of the query's execution. The following query returns all the queries, sorted by execution duration, which have been executed on our ADX cluster:

.show queries 
| project Text, Database, StartedOn, Duration, State, FailureReason, TotalCpu, CacheStatistics.Disk.Misses...