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Analytics for the Internet of Things (IoT)

You're reading from  Analytics for the Internet of Things (IoT)

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Pages 378 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Andrew Minteer Andrew Minteer
Profile icon Andrew Minteer
LinkedIn
Andrew Minteer is currently the senior director, data science and research at a leading global retail company. Prior to that, he served as the director, IoT Analytics and Machine Learning at a Fortune 500 manufacturing company. He has an MBA from Indiana University with a background in statistics, software development, database design, cloud architecture, and has led analytics teams for over 10 years. He first taught himself to program on an Atari 800 computer at the age of 11 and fondly remembers the frustration of waiting through 20 minutes of beeps and static to load a 100-line program. He now thoroughly enjoys launching a 1 TB GPU-backed cloud instance in a few minutes and getting right to work. Andrew is a private pilot who looks forward to spending some time in the air sometime soon. He enjoys kayaking, camping, traveling the world, and playing around with his six-year-old son and three-year-old daughter.
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Table of Contents (20) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Defining IoT Analytics and Challenges IoT Devices and Networking Protocols IoT Analytics for the Cloud Creating an AWS Cloud Analytics Environment Collecting All That Data - Strategies and Techniques Getting to Know Your Data - Exploring IoT Data Decorating Your Data - Adding External Datasets to Innovate Communicating with Others - Visualization and Dashboarding Applying Geospatial Analytics to IoT Data Data Science for IoT Analytics Strategies to Organize Data for Analytics The Economics of IoT Analytics Bringing It All Together

Processing geospatial data

Specialized software can help in processing and visualizing geospatial data. This can be useful for small data and one-time analyses. Even if you have a big data solution, using these tools can help you communicate your findings more effectively to others.

Geospatial analysis software

We will review the most popular Geographic Information System (GIS) tools, so you have some familiarity with them. They are useful support tools for geospatial analytics.

ArcGIS

ArcGIS is the de facto standard for paid GIS software. It was developed and is maintained by the ESRI corporation. It has an awe-inspiring amount of functionality and is used by most professional geospatial analysts. It has world-class support by ESRI and many training options abound. It links to useful datasets and geospatial analytic capabilities, which are also maintained by ESRI.

ArcGIS is available as a desktop application or as a cloud service. You can sign up for a 60-day free trial (https://www.arcgis.com...

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Authors (1)

Profile icon Andrew Minteer
LinkedIn
Andrew Minteer is currently the senior director, data science and research at a leading global retail company. Prior to that, he served as the director, IoT Analytics and Machine Learning at a Fortune 500 manufacturing company. He has an MBA from Indiana University with a background in statistics, software development, database design, cloud architecture, and has led analytics teams for over 10 years. He first taught himself to program on an Atari 800 computer at the age of 11 and fondly remembers the frustration of waiting through 20 minutes of beeps and static to load a 100-line program. He now thoroughly enjoys launching a 1 TB GPU-backed cloud instance in a few minutes and getting right to work. Andrew is a private pilot who looks forward to spending some time in the air sometime soon. He enjoys kayaking, camping, traveling the world, and playing around with his six-year-old son and three-year-old daughter.
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See other products by Andrew Minteer

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