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You're reading from  Hands-On Industrial Internet of Things

Product typeBook
Published inNov 2018
PublisherPackt
ISBN-139781789537222
Edition1st Edition
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Authors (2):
Giacomo Veneri
Giacomo Veneri
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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.
Read more about Giacomo Veneri

Antonio Capasso
Antonio Capasso
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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.
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QuickSight

QuickSight mainly relates to business intelligence capabilities, but also offers an easy way of IoT data visualization. Although QuickSight is not exactly related to IoT, it has great connectivity with AWS IoT Analytics and allows you to develop a user interface with just a few clicks:

  1. From the AWS console, click on the QuickSight option.
  2. The first time you click on QuickSight, it will ask you to register. Choose the free account.
  1. To enable the data source, check the box next to the Amazon IoT Analytics checkbox, as shown in the following screenshot:
Configuring QuickSight
  1. Finally, from the data set, create a new instance IoT Analytics and select our previously created dataset signals_dataset:
Creating a new AWS IoT Analytics datasource

Now, drag and drop our signal (in this case the temperature) into the autograph space:

Visualizing data with QuickSight
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Hands-On Industrial Internet of Things
Published in: Nov 2018Publisher: PacktISBN-13: 9781789537222

Authors (2)

author image
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.
Read more about Giacomo Veneri

author image
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.
Read more about Antonio Capasso