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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 8: Data Visualization with Azure Data Explorer and Power BI

By this point, you should have a solid understanding of Azure Data Explorer (ADX), understand how to deploy ADX infrastructure, ingest data, how to query your data using KQL, and how to perform time series analysis and create forecasts. Once you understand your data, the next step is to present the findings to your key stakeholders. We can apply the concepts of data visualization using ADX and Power BI.

In this chapter, we will begin by introducing the concept of data visualization. We will discuss 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 will also discuss some of the different chart types and when to use them.

Next, we will introduce the dashboard capabilities of the Azure Data Explorer Web UI and learn how to navigate the dashboard window, how to...

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