Research Anthology on Big Data Analytics, Architectures, and Applications

Research Anthology on Big Data Analytics, Architectures, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781668436639

Category: Computers

Page: 1988

View: 673

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Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
Research Anthology on Big Data Analytics, Architectures, and Applications
Language: en
Pages: 1988
Authors: Management Association, Information Resources
Categories: Computers
Type: BOOK - Published: 2021-09-24 - Publisher: IGI Global

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and
Management Approach for Resource-Productive Operations
Language: en
Pages: 258
Authors: Markus Hammer
Categories: Business & Economics
Type: BOOK - Published: 2018-07-10 - Publisher: Springer

Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement
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Language: en
Pages: 188
Authors: Linda Mareen Neugebauer, Irene Zanko
Categories: Business & Economics
Type: BOOK - Published: 2021-08-01 - Publisher: Springer Nature

The world is changing, and so are our donors. In the future, it will become even more important for organizations to find leads, supporters and new donors online - because digitization is a bottleneck in fundraising. This book highlights universal fundraising opportunities. It explains the fundamentals of lead community fundraising
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Language: en
Pages: 613
Authors: Alvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-17 - Publisher: Springer Nature

This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big
Fintech Business Models
Language: en
Pages: 311
Authors: Matthias Fischer
Categories: Business & Economics
Type: BOOK - Published: 2021-02-08 - Publisher: Walter de Gruyter GmbH & Co KG

This book on fintechs shows an international comparison on a global level. It is the first book where 10 years of financing rounds for fintechs have been analyzed for 10 different fintech segments. It is the first book to show the Canvas business model for fintechs. Professionals and students get