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

Connecting Power BI to Azure Data Explorer

Power BI is Microsoft's enterprise business intelligence product. It allows us to build powerful reports that give deep insights into our data that we can use to make data-driven decisions.

This section is not intended to be an introduction to Power BI; I assume you are already familiar with Power BI and would like to integrate ADX with Power BI. From my experience, most non-technical personnel will not log into portals such as the Azure portal or the Data Explorer Web UI. Instead, they will prefer to use tools they are familiar with and there is a high chance they are using Power BI. This section will explain how to create reports based on your ADX data and share it with a wider audience, such as product management teams.

With that said, it is only possible to sign up to Power BI using either a school or work email address. Email addresses such as gmail.com, icloud.com, and so on are not valid. The good news is that your Azure...