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

Exploring the ADX Web UI

By now, you will be aware that the ADX Web UI can be accessed via https://dataexplorer.azure.com/. Use the same credentials you use to log in to the Azure portal. Once you are logged in, you will see the ADX Web UI, as shown in Figure 3.9:

Figure 3.9 – ADX Web UI

Each of the panels shown in Figure 3.9 is described in more detail here:

  1. The header is where you can find access to help documentation, your user account, and some UI configuration settings.
  2. In the Navigation panel, unlike the embedded UI in the Azure portal, the Web UI provides two more views: Data and Dashboards. As shown in the following screenshot, the Data view allows you to configure data ingestion using the one-click ingestion method, which we used earlier in the chapter to ingest the sample dataset. We will cover data ingestion in more detail in the next chapter:

Figure 3.10 – Data Management screen

The Query view...