• Public domain ebook downloads Building Enterprise IoT Applications / Edition 1 in English

    Building Enterprise IoT Applications / Edition 1 by Chandrasekar Vuppalapati

    Public domain ebook downloads Building Enterprise IoT Applications / Edition 1  in English


    Download Building Enterprise IoT Applications / Edition 1 PDF

    • Building Enterprise IoT Applications / Edition 1
    • Chandrasekar Vuppalapati
    • Page: 454
    • Format: pdf, ePub, mobi, fb2
    • ISBN: 9780367173852
    • Publisher: Taylor & Francis

    Download Building Enterprise IoT Applications / Edition 1




    Public domain ebook downloads Building Enterprise IoT Applications / Edition 1 in English

    Overview

    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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