Analytics for the Internet of Things (IoT)
There are unique challenges associated with analyzing Internet of Things (IoT) data. This book will turn you into an effective designer of analytics to meet those challenges. You will learn the strategies to optimize the data for analytics through step-by-step approach which is followed throughout this book.
Offered by
Difficulty Level
Intermediate
Completion Time
12h36m
Language
English
About Book
Who Is This Book For?
This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful
Analytics for the Internet of Things (IoT)
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h36m total length
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
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