Book Image

Hands-On Azure Digital Twins

By : Alexander Meijers
Book Image

Hands-On Azure Digital Twins

By: Alexander Meijers

Overview of this book

In today’s world, clients are using more and more IoT sensors to monitor their business processes and assets. Think about collecting information such as pressure in an engine, the temperature, or a light switch being turned on or off in a room. The data collected can be used to create smart solutions for predicting future trends, creating simulations, and drawing insights using visualizations. This makes it beneficial for organizations to make digital twins, which are digital replicas of the real environment, to support these smart solutions. This book will help you understand the concept of digital twins and how it can be implemented using an Azure service called Azure Digital Twins. Starting with the requirements and installation of the Azure Digital Twins service, the book will explain the definition language used for modeling digital twins. From there, you'll go through each step of building digital twins using Azure Digital Twins and learn about the different SDKs and APIs and how to use them with several Azure services. Finally, you'll learn how digital twins can be used in practice with the help of several real-world scenarios. By the end of this book, you'll be confident in building and designing digital twins and integrating them with various Azure services.
Table of Contents (25 chapters)
1
Section 1: Azure Digital Twin Essentials
4
Section 2: Getting Started with Azure Digital Twins
11
Section 3: Digital Twins Advanced Techniques
19
Section 4: Digital Twin Implementations in Real-world Scenarios

Setting up a log analytics workspace

A log analytics workspace is an environment created in Microsoft Azure in which log data from Azure monitoring is stored. This environment contains a data repository and a set of configurations. These configurations allow us to configure how data is handled and stored in the data repository of the environment.

An analytics workspace is used to collect data from different data sources. Data sources can be anything from Azure resources, device collections and diagnostics, and log data from Azure storage.

We will use a log analytics workspace to collect log data from our Azure Digital Twins resource.

Let's start creating a log analytics workspace through the Azure portal. Execute the following steps, as shown in Figure 15.1:

  1. Go to Create a resource in the Azure portal at https://portal.azure.com.
  2. Search for Log Analytics workspace.
  3. Select Create.

Figure 15.1 – Searching for Log Analytics...