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Designing Internet of Things Solutions with Microsoft Azure : A Survey of Secure and Smart Industrial Applications

Autor Nirnay Bansal
en Limba Engleză Paperback – 8 sep 2020
Build a strong and efficient IoT solution at industrial and enterprise level by mastering industrial IoT using Microsoft Azure. This book focuses on the development of the industrial Internet of Things (IIoT) paradigm, discussing various architectures, as well as providing nine case studies employing IoT in common industrial domains including medical, supply chain, finance, and smart homes.  
The book starts by giving you an overview of the basic concepts of IoT, after which you will go through the various offerings of the Microsoft Azure IoT platform and its services. Next, you will get hands-on experience of IoT applications in various industries to give you a better picture of industrial solutions and how you should take your industry forward. As you progress through the chapters, you will learn real-time applications in IoT in agriculture, supply chain, financial services, retail, and transportation. Towards the end, you will gain knowledge to identify and analyze IoT security and privacy risks along with a detailed sample project. 
The book fills an important gap in the learning of IoT and its practical use case in your industry. Therefore, this is a practical guide that helps you discover the technologies and use cases for IIoT. By the end of this book, you will be able to build industrial IoT solution in Microsoft Azure with sensors, stream analytics, and serverless technologies.   
What You Will Learn
  • Provision, configure, and connect devices with Microsoft Azure IoT hub
  • Stream analytics using structural data and non-structural data such as images
  • Use stream analytics, serverless technology, and IoT SaaS offerings
  • Work with common sensors and IoT devices
Who This Book Is For
IoT architects, developers, and stakeholders working with the industrial Internet of Things. 

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Specificații

ISBN-13: 9781484260401
ISBN-10: 1484260406
Pagini: 305
Ilustrații: XXII, 297 p. 116 illus.
Dimensiuni: 178 x 254 mm
Greutate: 0.61 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Cuprins


Chapter 1: Basic IoT Concepts                                                                          15
This chapter provides overview of exciting and relevant technical areas essential to professionals in the IoT industry. Chapter provides an introduction to Internet of Things (IoT) and covers the concepts, hardware, and platforms of an IoT solution available in the market.
      Introduction
      Building blocks       Design Principles
      IoT Devices and Sensors
      IoT Platforms       Industrial IoT
Chapter 2: Microsoft Azure IoT Platform                                                       20
This chapter introduces with various offerings of Microsoft Azure IoT platform and its service offerings. Reader will learn various solution architecture suiting with different business needs, like single and bi-directional communication Architecture.
      Introduction
      IoT Services
      Architect
Chapter 3: Streaming IoT data to Microsoft Azure                                        20
This chapter provides hands-on experience registering and configuring device, setting up IoT environment and invoking messages. Students will learn to stream data (ingesting the telemetry) from simulated device to IoT hub.
      Manage IoT hub
      Device registration
Stream structural data and non-structural data
      Storing data
      Lab - Using simulated device     
Chapter 4: IoT Applications in Manufacturing                                               25
This chapter introduces possible real-time applications of IoT in Manufacturing business. Managers will learn How to run an IoT enabled Manufacturing business using Microsoft Azure. Developers will gain hands-on experience in Stream Analytics by analyzing stream of data in real-time using a SQL-like language. This makes it possible for monitor asset, detecting anomalies, checking conditions and displaying real-time data for preventive maintenance.
      Introduction       Applications
      Lab - Asset Monitoring and Preventive maintenance
     Chapter 5: IoT Applications in Agriculture                                                     25 This chapter introduces possible real-time applications of IoT in Agriculture business. Managers will learn How to run an IoT enabled Agriculture business using Microsoft Azure. Developers will gain hands-on experience on getting information from various sensors. We will focus on the most common ones like the humidity, temperature and Location sensor.
      Introduction
      Applications
      Lab - Working with sensors
     
Chapter 6: IoT Applications in Energy                                                            25
This chapter introduces possible real-time applications of IoT in Energy business. Managers will learn How to run an IoT enabled Energy business using Microsoft Azure. Developers will gain hands-on experience of analyzing most common nonstructural data source like images from drone camera.
      Introduction
      Applications
      Lab - Camera-mounted drones
      IoT enabled solar panels
     
Chapter 7: IoT Applications in Home Automation and Smart Homes          25
This chapter introduces possible real-time applications of IoT in smart home business. Managers will learn How to run an IoT enabled home automation business using Microsoft Azure. Developers will gain hands-on experience with the smart smoke detector, smart lock and like.
      Introduction
      Applications
      Lab - Working with Personal assistants like Amazon’s Echo            
     
Chapter 8: IoT Applications in Supply Chain                                                 25
This chapter introduces possible real-time applications of IoT in supply chain business. Managers will learn How to run an IoT enabled home supply chain business using Microsoft Azure. Developers will gain hands-on experience of inventories tracking using structured data of RFID tag systems.
Sub -Topics
      Introduction
      Applications
      Lab - Working with Radio-frequency identification (RFID)
     
Chapter 9: IoT Applications in Financial Services                                        25
This chapter introduces possible real-time applications of IoT in financial services business. Managers will learn How to run an IoT enabled security system in financial services business using Microsoft Azure. Developers will gain hands-on experience of building real-time face recognition and weapon recognition security system.
Sub -Topics
      Introduction
      Applications
      Lab - IoT as vehicle for greater security
     
Chapter 10: IoT Applications in Healthcare                                                    25
This chapter introduces possible real-time applications of IoT in healthcare services business. Managers will learn How to run an IoT enabled patient care in healthcare business using Microsoft Azure. Developers will gain hands-on experience of working with wearable devices.
Sub -Topics
      Introduction
      Applications
      Lab - audio devices and Wearables
     
Chapter 11: IoT Applications in Retail                                                             25
This chapter introduces possible real-time applications of IoT in Retail business. Managers will learn How to run an IoT enabled Retail business using Microsoft Azure. Developers will gain hands-on experience querying and visualizing data and learn visual analytics using use case of Retail businesses.
Sub -Topics
      Introduction
      Applications
      Lab - Visual analytics
     
Chapter 12: IoT Applications in Transportation                                             25
This chapter introduces possible real-time applications of IoT in transportation business. Managers will learn How to run an IoT enabled transportation business using Microsoft Azure. Developers will gain hands-on experience working with offline devices due to no signal zones and how to get data in batch.
Sub -Topics
      Introduction
      Applications
      Lab - logistics monitoring and routing
 
Chapter 13: Risk                                                                                                 10
In this chapter, reader will gain knowledge to identify and analyze IoT security and privacy risks, and concept design secure hardware and software. Learn how to design a secure system.
Sub -Topics
      Privacy
Safety
      IoT Standards & Regulations  
Sample project                                                                                                     2
Sample project for you to engage fully in the process of designing an IoT solution, from initial analysis to planning out the product, design, and implement.
 Conclusion                                                                                                           1
 
Index                                                                                                                    3

Notă biografică

Nirnay Bansal is certified solution architect and working at Microsoft Corp, Redmond, WA since 2015.  He graduated in computer science from BITS, Pilani and MBA from Louisiana State University (S). He has been working for over 15 years on large and complex IT projects. He is a technical specialist in providing architecture, development, and consultancy, using Microsoft technologies including Microsoft Azure. Among his past clients are Frontier communication, Fidelity, PricewaterHouseCoopers and Dell.
Nirnay is one of the well-known experts when it comes to designing cloud-based solution and data scenarios. Additionally, he participates in public events as speaker for Code Camps. Along with various Microsoft certifications, he is a Microsoft Certified Trainer (MCT) and a certified Solution Architect from IASA. He is Co-founder and CTO of Mobile application development company www.TechValens.com, helping small to mid size client across the globe.
He loves trekking and skating. He spends his spare time and holidays with wife Dharna, son Neev along with his father Rajkishore and mother Kusumlata in the India.
You can contact Nirnay through his Twitter handle @nirnaybansal, on LinkedIn at www.linkedin.com/in/nirnaybansal or by sending him an e-mail at nirnaybansal@gmail.com


Textul de pe ultima copertă

Build a strong and efficient IoT solution at industrial and enterprise level by mastering industrial IoT using Microsoft Azure. This book focuses on the development of the industrial Internet of Things (IIoT) paradigm, discussing various architectures, as well as providing nine case studies employing IoT in common industrial domains including medical, supply chain, finance, and smart homes.  
The book starts by giving you an overview of the basic concepts of IoT, after which you will go through the various offerings of the Microsoft Azure IoT platform and its services. Next, you will get hands-on experience of IoT applications in various industries to give you a better picture of industrial solutions and how you should take your industry forward. As you progress through the chapters, you will learn real-time applications in IoT in agriculture, supply chain, financial services, retail, and transportation. Towards the end, you will gain knowledge to identify and analyze IoT security and privacy risks along with a detailed sample project. 
The book fills an important gap in the learning of IoT and its practical use case in your industry. Therefore, this is a practical guide that helps you discover the technologies and use cases for IIoT. By the end of this book, you will be able to build industrial IoT solution in Microsoft Azure with sensors, stream analytics, and serverless technologies.   
You will:
  • Provision, configure, and connect devices with Microsoft Azure IoT hub
  • Stream analytics using structural data and non-structural data such as images
  • Use stream analytics, serverless technology, and IoT SaaS offerings
  • Work with common sensors and IoT devices

Caracteristici

Contains start-to-finish configuration examples for common IoT development and deployment scenarios
Consists of use cases in various industries such as manufacturing, supply chain, and retail
Discusses stream analytics by analyzing streams of data in real time using a SQL-like language