Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices (English Edition)

Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices (English Edition)

Price: 45,99 €
(as of Jan 22,2021 18:26:29 UTC – Details)


Break through the hype and learn how to extract actionable intelligence from the flood of IoT data

Key Features

  • Make better business decisions and acquire greater control of your IoT infrastructure
  • Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices
  • Uncover the business potential generated by data from IoT devices and bring down business costs

Book Description

We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques.

Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns.

Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value.

By the end of the book, you’ll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.

What You Will Learn

  • Overcome the challenges IoT data brings to analytics
  • Understand the variety of transmission protocols for IoT along with their strengths and weaknesses
  • Learn how data flows from the IoT device to the final data set
  • Develop techniques to wring value from IoT data
  • Apply geospatial analytics to IoT data
  • Use machine learning as a predictive method on IoT data
  • Implement best strategies to get the most from IoT analytics
  • Master the economics of IoT analytics in order to optimize business value

Table of Contents

  1. Defining IoT Analytics and Challenges
  2. IoT Devices and Networking Protocols
  3. IoT Analytics for the Cloud
  4. Creating an AWS Cloud Analytics Environment
  5. Collecting All That Data – Strategies and Techniques
  6. Getting to Know Your Data – Exploring IoT Data
  7. Decorating Your Data – Adding External Datasets to Innovate
  8. Communicating with Others – Visualization and Dashboarding
  9. Applying Geospatial Analytics to IoT Data
  10. Data Science for IoT Analytics
  11. Strategies to Organize Data for Analytics
  12. The Economics of IoT Analytics
  13. Bringing It All Together

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