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  • Book Overview & Buying Hands-On Industrial Internet of Things
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Hands-On Industrial Internet of Things

Hands-On Industrial Internet of Things

By : Giacomo Veneri, Antonio Capasso
4.7 (16)
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Hands-On Industrial Internet of Things

Hands-On Industrial Internet of Things

4.7 (16)
By: Giacomo Veneri, Antonio Capasso

Overview of this book

We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT). Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You’ll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you’ll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices. As you progress through the chapters, you’ll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms. By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.
Table of Contents (18 chapters)
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Google Cloud IoT

Google Cloud IoT is the IoT platform proposed by Google to manage business insights from your global device network. The key components of GCP related to the I-IoT are as follows:

  • Cloud IoT Core: The device hub to receive data and manage devices
  • Cloud Pub/Sub: A publisher/subscriber service to consume data
  • Cloud Dataflow or Cloud Functions: These are used to process data for conversion, digital twins, and diagnosis
  • Cloud Bigtable: This is used for data storage

There are also some more general-purpose services:

  • Cloud Machine Learning (ML)
  • Cloud BigQuery
  • Cloud Storage

From an Edge perspective, Google is quite agnostic. However, they have recently declared that Android will be the platform that is used to develop IoT. The following diagram shows the basic flow diagram implemented by the GCP IoT:

GCP IoT key technologies and flow

Google IoT Core supports Message...

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