Building Enterprise IoT Applications
eBook - ePub

Building Enterprise IoT Applications

  1. 442 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Building Enterprise IoT Applications

About this book

McKinsey Global Institute predicts Internet of Things (IoT) could generate up to $11.1 trillion a year in economic value by 2025. Gartner Research Company expects 20 billion inter-connected devices by 2020 and, as per Gartner, the IoT will have a significant impact on the economy by transforming many enterprises into digital businesses and facilitating new business models, improving efficiency and increasing employee and customer engagement. It's clear from above and our research that the IoT is a game changer and will have huge positive impact in foreseeable future.

In order to harvest the benefits of IoT revolution, the traditional software development paradigms must be fully upgraded. The mission of our book, is to prepare current and future software engineering teams with the skills and tools to fully utilize IoT capabilities. The book introduces essential IoT concepts from the perspectives of full-scale software development with the emphasis on creating niche blue ocean products. It also:



  • Outlines a fundamental full stack architecture for IoT


  • Describes various development technologies in each IoT layer


  • Explains IoT solution development from Product management perspective


  • Extensively covers security and applicable threat models as part of IoT stack

The book provides details of several IoT reference architectures with emphasis on data integration, edge analytics, cluster architectures and closed loop responses.

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Yes, you can access Building Enterprise IoT Applications by Chandrasekar Vuppalapati in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Dedication
  6. Acknowledgement
  7. Table of Contents
  8. 1. Introduction
  9. 2. Foundation Architectures
  10. 3. Hardware Design
  11. 4. IoT Data Sources
  12. 5. IoT Data Collectors
  13. 6. Data Storage
  14. 7. Machine Learning at the Edge
  15. 8. Edge Analytics
  16. 9. Connectivity
  17. 10. Middleware
  18. 11. Cloud and IoT
  19. 12. Future
  20. Appendix
  21. Index