Hands-On Industrial Internet of Things

More Information
Learn
  • Explore industrial processes, devices, and protocols
  • Design and implement the I-IoT network flow
  • Gather and transfer industrial data in a secure way
  • Get to grips with popular cloud-based platforms
  • Understand diagnostic analytics to answer critical workforce questions
  • Discover the Edge device and understand Edge and Fog computing
  • Implement equipment and process management to achieve business-specific goals
About

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.

Features
  • Gain hands-on experience working with industrial architecture
  • Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols
  • Improve business models and transform your workforce with Industry 4.0
Page Count 556
Course Length 16 hours 40 minutes
ISBN 9781789537222
Date Of Publication 29 Nov 2018

Authors

Giacomo Veneri

Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.

Antonio Capasso

Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.