Managing Emerging Data Technologies
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Managing Emerging Data Technologies
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Author : Duncan R. Shaw
language : en
Publisher: SAGE
Release Date : 2022-11-26
Managing Emerging Data Technologies written by Duncan R. Shaw and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-26 with Business & Economics categories.
Emerging data technologies are one of several forces that are changing the world. Following a unique macro, meso and micro structure, this textbook shows how technologies such as the Internet of Things, Artificial Intelligence and data analytics are altering business operations and strategy.
Managing Emerging Data Technologies
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Author : Duncan R. Shaw
language : en
Publisher: SAGE
Release Date : 2022-10-26
Managing Emerging Data Technologies written by Duncan R. Shaw and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-26 with Business & Economics categories.
Emerging data technologies are one of several forces that are changing the world. This textbook shows how technologies such as the Internet of Things, Artificial Intelligence and data analytics are altering business operations and strategy. Following a unique, three-part structure, the book offers: • a macro view of the environmental drivers which are changing organisations • a meso view of how organisations and business functions are responding • a micro view of the skills needed to take advantage of the new opportunities that these technologies bring A wide range of examples featuring well-known companies aid understanding, while practical activities help students to develop the skills they need in business. A downloadable teaching guide and PowerPoints are available for those using the book in their teaching. Managing Emerging Data Technologies: Concepts and Use is essential reading for upper-undergraduate and postgraduate students of courses related to new digital data technologies in business, as well as anyone looking to use these technologies in their organisation. Duncan R. Shaw teaches business strategy and data technology strategy at business schools around the world, including Alliance Manchester Business School in Hong Kong, and Nottingham University Business School in the UK and Malaysia.
Emerging Technologies And Applications In Data Processing And Management
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2019-06-28
Emerging Technologies And Applications In Data Processing And Management written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.
Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.
Handbook Of Big Data Technologies
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Author : Albert Y. Zomaya
language : en
Publisher: Springer
Release Date : 2017-02-25
Handbook Of Big Data Technologies written by Albert Y. Zomaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-25 with Computers categories.
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.
Emerging Technology And Architecture For Big Data Analytics
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Author : Anupam Chattopadhyay
language : en
Publisher: Springer
Release Date : 2017-04-19
Emerging Technology And Architecture For Big Data Analytics written by Anupam Chattopadhyay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-19 with Technology & Engineering categories.
This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.
Smart Grid Technology
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Author : Sudip Misra
language : en
Publisher: Cambridge University Press
Release Date : 2018-07-12
Smart Grid Technology written by Sudip Misra and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-12 with Computers categories.
Discusses concepts of smart grid technologies, from the perspective of integration with cloud computing and data management approaches.
Big Data Management Technologies And Applications
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Author : Hu, Wen-Chen
language : en
Publisher: IGI Global
Release Date : 2013-10-31
Big Data Management Technologies And Applications written by Hu, Wen-Chen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with Computers categories.
"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.
Digital Transformation Evaluating Emerging Technologies
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Author : Tugrul U Daim
language : en
Publisher: World Scientific
Release Date : 2020-07-28
Digital Transformation Evaluating Emerging Technologies written by Tugrul U Daim and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-28 with Computers categories.
Selecting the right technology is one of the most critical decisions in technology driven enterprises, and no selection is complete without a thorough and informed evaluation. This book explores the digital transformation movement from three perspectives: the technological, the personal, and the organizational.The technical perspective analyses and evaluates new and up and coming technologies such as IoT and Cloud Technology. The personal perspective focuses on the consumer's attitude and experience in the adoption of technologies such as smart homes, smart watches, drones and wireless devices. And the organizational perspective focuses on evaluating how technology-driven an organization and their core activities or products are.This book is an ideal reference for managers who are responsible for digital transformation in their organizations and also serves a good starting point for researchers interested in understanding the trend. The book contains case studies that may be used by educators in MBA and Engineering and Technology Management MS programs covering digital transformation related courses.
The Elements Of Big Data Value
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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-08-01
The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Computers categories.
This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
Guidebook For Managing Data From Emerging Technologies For Transportation
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Author : Kelley Klaver Pecheux
language : en
Publisher:
Release Date : 2020
Guidebook For Managing Data From Emerging Technologies For Transportation written by Kelley Klaver Pecheux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Database management categories.
With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are being added to the transportation domain at a rapid rate, and these data are too large, too varied in nature, and will change too quickly to be handled by the traditional database management systems of most transportation agencies. The TRB National Cooperative Highway Research Program's NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation provides guidance, tools, and a big data management framework, and it lays out a roadmap for transportation agencies on how they can begin to shift - technically, institutionally, and culturally - toward effectively managing data from emerging technologies. Modern, flexible, and scalable "big data" methods to manage these data need to be adopted by transportation agencies if the data are to be used to facilitate better decision-making. As many agencies are already forced to do more with less while meeting higher public expectations, continuing with traditional data management systems and practices will prove costly for agencies unable to shift.