The Azure IoT Handbook Develop IoT Solutions Using the Intelligent Edge-To-cloud Technologies
The essential guide to architecting Azure IoT systems--from provisioning and monitoring IoT sensors to analyzing real-time streaming data Key Features Develop a complete IoT system in Azure with the help of hands-on examples Discover how to create, secure, and manage an enterprise-wide IoT system Le...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing Ltd
[2023]
|
| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009790335706719 |
Tabla de Contenidos:
- Cover
- Copyright
- Contributors
- Table of Contents
- Preface
- Part 1: Capturing Data from Remote Devices
- Chapter 1: An Introduction to the IoT
- Technical requirement
- What is the IoT?
- What are some common IoT use cases?
- What are the components of an IoT system?
- Understanding the Azure IoT system
- Lab - setting up an IoT hub in Azure
- Summary
- Chapter 2: Exploring the IoT Hub Service
- The features of IoT Hub
- Configuring IoT devices
- Identity verification
- Communicating with IoT devices
- Device-to-cloud messaging
- Using direct methods
- Using a device twin
- Managing and monitoring IoT devices
- Using the Azure CLI to monitor devices
- Setting up Azure Toolkit in Visual Studio Code
- Lab - setting up and monitoring IoT devices
- Summary
- Chapter 3: Provisioning Devices with the Device Provisioning Service
- Device provisioning at scale
- Managing device provisioning security concerns
- Allocation policies in DPS
- Deprovisioning and disenrolling devices
- Using the device provisioning SDK
- Lab - provisioning devices using DPS
- Adding an individual enrollment
- Adding group enrollments
- Using custom policies for device allocation
- Summary
- Chapter 4: Exploring Device Management and Monitoring
- Introducing device twins
- Querying devices using device twins
- Updating device properties
- Communicating with devices
- Cloud-to-device messaging
- Direct method calls
- Automated device management
- Monitoring metrics and logs
- Lab - Automating IoT device management
- Lab - Creating and testing an alert
- Summary
- Chapter 5: Securing IoT Systems
- End-to-end security for IoT
- A use case to exemplify how Azure IoT end-to-end security components work together
- Microsoft Defender for IoT
- Setting up Microsoft Defender for IoT
- Microsoft Defender for Cloud.
- Lab - creating a security alert
- Summary
- Part 2: Processing the Data
- Chapter 6: Creating Message Routing
- Exploring the basics and overall process of message routing
- Common use cases for using the built-in endpoint in an IoT hub
- Common use cases for using custom endpoints in an IoT hub
- Message routing queries
- Exploring message enrichment
- Lab - using message enrichment and custom endpoints
- Summary
- Chapter 7: Exploring Azure Stream Analytics
- Stream analytics use cases
- Inputs and outputs
- Stream Analytics query language
- Running and monitoring jobs
- Lab - detecting anomalies with ASA
- Summary
- Chapter 8: Investigating IoT Data with Azure Data Explorer
- What is Azure Data Explorer?
- Ingesting streaming data
- Visualizing the streaming data
- Lab - creating an ADX dashboard
- Summary
- Further reading
- Chapter 9: Exploring IoT Edge Computing
- Azure IoT Edge devices
- Deploying an IoT Edge device
- Exploring EdgeAgent
- Exploring EdgeHub
- Computing and storage on the edge
- Using an edge device as a gateway
- Lab - implementing stream analytics on the edge
- Summary
- Part 3: Processing the Data
- Chapter 10: Visualizing Streaming Data in Power BI
- Technical requirements
- Introducing Power BI?
- Exploring Power BI dashboard basics
- Types of real-time datasets
- Pushing data into datasets
- Displaying real-time visuals
- Lab - Creating a real-time streaming dashboard
- Summary
- Chapter 11: Integrating Machine Learning
- Understanding ML basics
- Creating an ML algorithm in Azure
- What are Azure AI and ML services?
- Exploring ML on the edge
- Combining IoT with ML
- Lab - creating an anomaly detection system
- Summary
- Chapter 12: Responding to Device Events
- Event Grid versus Event Hubs
- Understanding Event Grid fundamentals
- Event Grid architecture.
- Event Grid key concepts
- Exploring common IoT events
- Sending IoT events to Event Grid
- Responding to events
- Subscribing and responding to IoT Hub events
- Lab - monitoring device connection and disconnection with Event Grid
- Summary
- Index
- Other Books You May Enjoy.
