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

In this chapter, we began by introducing the concept of data visualization and discussed some of the important questions and design principles that should be taken into consideration to ensure the narrative is clear, concise, and data-driven rather than being based on bias and gut feeling. We discussed some of the different chart types and when to use them.

Next, we introduced the dashboard capabilities of the Azure Data Explorer Web UI and learned how to navigate the dashboard window, how to create dashboards and apply the design principles discussed in the previous section, and then understood how to share dashboards and how to make dashboards interactive by creating filters, which can be used by your stakeholders.

Finally, we explained how to integrate ADX with Power BI and how to create a work account using Azure Active Directory, as well as how to connect our ADX instance to Power BI as a data source. We created a report in Power BI to display the storm event locations...