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Scalable Data Analytics with Azure Data Explorer

Scalable Data Analytics with Azure Data Explorer

By : Jason Myerscough
4.8 (8)
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Scalable Data Analytics with Azure Data Explorer

Scalable Data Analytics with Azure Data Explorer

4.8 (8)
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)
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1
Section 1: Introduction to Azure Data Explorer
5
Section 2: Querying and Visualizing Your Data
11
Section 3: Advanced Azure Data Explorer Topics

Chapter 9: Monitoring and Troubleshooting Azure Data Explorer

Monitoring systems and environments seems to be more of an afterthought rather than a part of initial requirements and design. During postmortems for production issues, it is not uncommon to have a long list of action items to remediate basic monitoring that we might assume is already implemented, such as Secure Sockets Layer (SSL) certificate expiration. Non-production environments are another story; it is not uncommon to find environments such as user acceptance testing (UAT), quality assurance (QA), and staging environments with no monitoring. Avoid these bad practices; always monitor your resources, regardless of the environment. How you raise an alert can differ depending on the environment and your service-level agreements (SLAs), but ensure that you always monitor your resources; otherwise, you are setting yourself up for failure.

In this chapter, we will begin by introducing the concepts of monitoring in Azure...

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