Analytics for the Internet of Things (IoT)

Unlock the potential of IoT data with Analytics for the Internet of Things (IoT). This resource begins with the formidable challenge of extracting meaningful insights from vast and often complex datasets generated by IoT devices.

The journey delves into the intricacies of data collection, storage, and analysis. Learn how to navigate the labyrinthine path data takes from IoT devices to servers, and discover the power of visualization and statistical modeling in deriving valuable insights. Gain insights into IoT data generation, network transmission, and strategies for optimizing data collection and storage. Additionally, explore techniques for addressing data quality concerns, ensuring that your IoT analytics deliver accurate and actionable results.

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Table of Contents

• 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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