Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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
Author (1):
Andrew Minteer Andrew Minteer
Profile icon Andrew Minteer

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

About the Reviewer

Ruben Oliva Ramos is a computer systems engineer from Tecnologico of Leon Institute, with a master's degree in computer and electronic systems engineering, teleinformatics, and networking specialization from the University of Salle Bajio in Leon, Guanajuato Mexico. He has more than 5 years of experience in developing web applications to control and monitor devices connected with Arduino and Raspberry Pi using web frameworks and cloud services to build applications using the Internet of Things.

He is a mechatronics teacher at the University of Salle Bajio and teaches students on the master's degree in design and engineering of mechatronics systems. He also works at Centro de Bachillerato Tecnologico Industrial 225 in Leon, Guanajuato Mexico, teaching subjects such as electronics, robotics and control, automation, and microcontrollers at Mechatronics Technician Career, consultant and developer projects in areas such as monitoring systems and datalogger data using technologies such as Android, iOS, Windows Phone, HTML5, PHP, CSS, Ajax, JavaScript, Angular, ASP .NET databases SQlite, mongoDB, MySQL, web servers Node.js, IIS, hardware programming Arduino, Raspberry pi, Ethernet Shield, GPS and GSM/GPRS, ESP8266, control, and monitor systems for data acquisition and programming.

 

I would like to thank my savior and lord, Jesus Christ for giving me strength and courage to pursue this project, to my dearest wife, Mayte, our two lovely sons, Ruben and Dario, To my father (Ruben), my dearest mom (Rosalia), my brother (Juan Tomas), and my sister (Rosalia) whom I love, for all their support while reviewing this book, for allowing me to pursue my dream and tolerating not being with them after my busy day job.

 

 

lock icon The rest of the chapter is locked
You have been reading a chapter from
Analytics for the Internet of Things (IoT)
Published in: Jul 2017 Publisher: Packt ISBN-13: 9781787120730
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}