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Effective Big Data Management And Opportunities For Implementation


Effective Big Data Management And Opportunities For Implementation
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Effective Big Data Management And Opportunities For Implementation


Effective Big Data Management And Opportunities For Implementation
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Author : Singh, Manoj Kumar
language : en
Publisher: IGI Global
Release Date : 2016-06-20

Effective Big Data Management And Opportunities For Implementation written by Singh, Manoj Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Computers categories.


“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.



Proceedings Of The 24th International Symposium On Advancement Of Construction Management And Real Estate


Proceedings Of The 24th International Symposium On Advancement Of Construction Management And Real Estate
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Author : Gui Ye
language : en
Publisher: Springer Nature
Release Date : 2021-06-07

Proceedings Of The 24th International Symposium On Advancement Of Construction Management And Real Estate written by Gui Ye and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Business & Economics categories.


This book covers various current and emerging topics in construction management and real estate. Papers selected in this book cover a wide variety of topics such as new-type urbanization, planning and construction of smart city and eco-city, urban–rural infrastructure development, land use and development, housing market and housing policy, new theory and practice of construction project management, big data application, smart construction and BIM, international construction (i.e., belt and road project), green building, off-site prefabrication, rural rejuvenation and eco-civilization and other topics related to construction management and real estate. These papers provide useful references to both scholars and practitioners. This book is the documentation of “The 24th International Symposium on Advancement of Construction Management and Real Estate,” which was held in Chongqing, China.



Big Data Big Analytics


Big Data Big Analytics
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Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-22

Big Data Big Analytics written by Michael Minelli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-22 with Business & Economics categories.


Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.



Big Data Applications For Improving Library Services


Big Data Applications For Improving Library Services
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Author : Dhamdhere, Sangeeta Namdev
language : en
Publisher: IGI Global
Release Date : 2020-09-25

Big Data Applications For Improving Library Services written by Dhamdhere, Sangeeta Namdev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Language Arts & Disciplines categories.


Today, libraries must provide various web-based services, social media, and internet to patrons in order to adequately support their information needs. In addition to these services, the maintenance of online literature, databases, data sets, and archives cause librarians to have to handle huge amounts of data each day. Big data can support with quality improvement and problem solving to improve library services and can help librarians to provide up-to-date and innovative real-time services to library users. Big Data Applications for Improving Library Services is an essential scholarly publication that examines the implications and applications of big data analytics on services provided by libraries. Highlighting a wide range of topics such as data analytics, mobile technologies, and web-based services, this book is ideal for librarians, knowledge managers, data scientists, data analysts, cataloguers, academicians, IT professionals, researchers, and students.



Big Data Management


Big Data Management
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Author : Fausto Pedro García Márquez
language : en
Publisher: Springer
Release Date : 2016-11-15

Big Data Management written by Fausto Pedro García Márquez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-15 with Computers categories.


This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.



Big Data


Big Data
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Author :
language : en
Publisher:
Release Date : 2011

Big Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Competition, International categories.




Proceedings Of The Third International Conference On Information Management And Machine Intelligence


Proceedings Of The Third International Conference On Information Management And Machine Intelligence
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Author : Dinesh Goyal
language : en
Publisher: Springer Nature
Release Date : 2022-08-03

Proceedings Of The Third International Conference On Information Management And Machine Intelligence written by Dinesh Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-03 with Technology & Engineering categories.


This book features selected papers presented at Third International Conference on International Conference on Information Management and Machine Intelligence (ICIMMI 2021) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 23 – 24 December 2021. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.



Papers In Itjemast 11 9 2020


Papers In Itjemast 11 9 2020
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Author :
language : en
Publisher: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Release Date :

Papers In Itjemast 11 9 2020 written by and has been published by International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.


International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.



Big Data Bigdata 2021


Big Data Bigdata 2021
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Author : Jinpeng Wei
language : en
Publisher: Springer Nature
Release Date : 2022-02-15

Big Data Bigdata 2021 written by Jinpeng Wei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-15 with Computers categories.


This book constitutes the refereed proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021. The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.



Big Data Management And Processing


Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19

Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.


From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.