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)
Section 1: Introduction to Azure Data Explorer
Section 2: Querying and Visualizing Your Data
Section 3: Advanced Azure Data Explorer Topics

Chapter 8

  1. What is data visualization?

Answer: Data visualization is a method of illustrating data. This can help different audiences understand your data.

  1. Create a dashboard in ADX for the EnglishPremierLeague table and display the total number of goals scored, goals conceded, and wins for each instance You can experiment here and add some extra tiles.


Figure 13.2 – A chart displaying new tiles for the EnglishPremierLeague table

  1. What is the purpose of parameters in ADX dashboards?

Answer: Parameters allow the end user to interact with your dashboard and change filter values.

  1. What is the difference between the Import and DirectQuery functions when configuring the ADX connector for Microsoft Power BI?

Answer: The Import function imports your data into Power BI, whereas the DirectQuery function pulls data directly from the ADX cluster.

  1. Try modifying the dashboard we created in ADX Web...