Handbook of Big Data Technologies

Handbook of Big Data Technologies
Author: Albert Y. Zomaya,Sherif Sakr
Publsiher: Springer
Total Pages: 895
Release: 2017-02-25
ISBN: 331949340X
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Big Data Technologies Book Excerpt:

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.

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques
Author: Segall, Richard S.,Cook, Jeffrey S.
Publsiher: IGI Global
Total Pages: 917
Release: 2018-01-05
ISBN: 1522531432
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data Storage and Visualization Techniques Book Excerpt:

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Handbook of IoT and Big Data

Handbook of IoT and Big Data
Author: Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Publsiher: CRC Press
Total Pages: 340
Release: 2019-02-21
ISBN: 042962493X
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of IoT and Big Data Book Excerpt:

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 1988
Release: 2021-09-24
ISBN: 1668436639
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Big Data Analytics Architectures and Applications Book Excerpt:

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.

Handbook of Research on Big Data Green Growth and Technology Disruption in Asian Companies and Societies

Handbook of Research on Big Data  Green Growth  and Technology Disruption in Asian Companies and Societies
Author: Ordóñez de Pablos, Patricia,Zhang, Xi,Almunawar, Mohammad Nabil,Gayo, José Emilio Labra
Publsiher: IGI Global
Total Pages: 415
Release: 2021-10-23
ISBN: 1799885267
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data Green Growth and Technology Disruption in Asian Companies and Societies Book Excerpt:

The business ecosystem within Asia is undergoing a transformation post COVID-19. Green issues, inclusion, and strategic disruptors in companies and economies have become rising topics in Asian businesses, causing such a change. This has the potential to be an evolution for Asian businesses, creating new business models for economic growth in Asia. The Handbook of Research on Big Data, Green Growth, and Technology Disruption in Asian Companies and Societies presents a rich collection of chapters exploring and discussing the emerging topics, challenges, and success factors in business, big data, innovation, and technology in Asia. This book will explore the changes made in the transition towards greener and sustainable societies and economies. Covering topics including information technologies, open innovation, and green issues, this book is essential for researchers, academicians, students, politicians, policymakers, corporate heads of firms, senior general managers, managing directors, information technology directors and managers, and libraries.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
Author: Haldorai, Anandakumar,Ramu, Arulmurugan
Publsiher: IGI Global
Total Pages: 263
Release: 2019-09-20
ISBN: 1522597522
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Analytics for Sustainable Computing Book Excerpt:

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Big Data Management and Analytics

Big Data Management and Analytics
Author: Ralf-Detlef Kutsche,Esteban Zimányi
Publsiher: Springer Nature
Total Pages: 121
Release: 2020-11-01
ISBN: 3030616274
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Management and Analytics Book Excerpt:

This book constitutes 5 revised tutorial lectures of the 9th European Business Intelligence and Big Data Summer School, eBISS 2019, held in Berlin, Germany, during June 30 – July 5, 2019. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical and practical skills necessary for developing challenging business intelligence applications.

Handbook of Research on Smart Technology Applications in the Tourism Industry

Handbook of Research on Smart Technology Applications in the Tourism Industry
Author: Çeltek, Evrim
Publsiher: IGI Global
Total Pages: 569
Release: 2020-01-17
ISBN: 1799819906
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Research on Smart Technology Applications in the Tourism Industry Book Excerpt:

In today’s modernized society, certain technologies have become more applicable within many professional fields and are much easier to implement. This includes the tourism industry, where smart technology has provided a range of new marketing possibilities including more effective sales tactics and delivering a more personalized customer experience. As the scope of business analytics continues to expand, professionals need research on the various applications of smart technology within the field of tourism. The Handbook of Research on Smart Technology Applications in the Tourism Industry is an essential reference source that discusses the use of intelligent systems in tourism as well as their influence on consumer relationships. Featuring research on topics such as digital advertising, wearable technology, and consumer behavior, this book is ideally designed for travel agents, tour developers, restaurateurs, hotel managers, tour directors, airlines, marketers, researchers, managers, hospitality professionals, policymakers, business strategists, researchers, academicians, and students seeking coverage on the use of smart technologies in tourism.

Research Anthology on Privatizing and Securing Data

Research Anthology on Privatizing and Securing Data
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2188
Release: 2021-04-23
ISBN: 1799889556
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Privatizing and Securing Data Book Excerpt:

With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Big Data IoT and Machine Learning

Big Data  IoT  and Machine Learning
Author: Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Publsiher: CRC Press
Total Pages: 319
Release: 2020-09-01
ISBN: 1000098281
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data IoT and Machine Learning Book Excerpt:

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Business Intelligence and Big Data

Business Intelligence and Big Data
Author: Esteban Zimányi
Publsiher: Springer
Total Pages: 155
Release: 2018-07-14
ISBN: 3319966553
Category: Computers
Language: EN, FR, DE, ES & NL

Business Intelligence and Big Data Book Excerpt:

This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications.

Handbook of Big Data Analytics

Handbook of Big Data Analytics
Author: Vadlamani Ravi,Aswani Kumar Cherukuri
Publsiher: IET
Total Pages: 389
Release: 2021-07-09
ISBN: 1839530642
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Big Data Analytics Book Excerpt:

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Handbook of Blockchain Digital Finance and Inclusion Volume 2

Handbook of Blockchain  Digital Finance  and Inclusion  Volume 2
Author: David LEE Kuo Chuen,Robert H. Deng
Publsiher: Academic Press
Total Pages: 554
Release: 2017-08-16
ISBN: 0128122994
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Blockchain Digital Finance and Inclusion Volume 2 Book Excerpt:

Handbook of Blockchain, Digital Finance, and Inclusion, Volume 2: ChinaTech, Mobile Security, and Distributed Ledger emphasizes technological developments that introduce the future of finance. Descriptions of recent innovations lay the foundations for explorations of feasible solutions for banks and startups to grow. The combination of studies on blockchain technologies and applications, regional financial inclusion movements, advances in Chinese finance, and security issues delivers a grand perspective on both changing industries and lifestyles. Written for students and practitioners, it helps lead the way to future possibilities. Explains the practical consequences of both technologies and economics to readers who want to learn about subjects related to their specialties Encompasses alternative finance, financial inclusion, impact investing, decentralized consensus ledger and applied cryptography Provides the only advanced methodical summary of these subjects available today

Emerging Trends in IoT and Integration with Data Science Cloud Computing and Big Data Analytics

Emerging Trends in IoT and Integration with Data Science  Cloud Computing  and Big Data Analytics
Author: Taser, Pelin Yildirim
Publsiher: IGI Global
Total Pages: 334
Release: 2021-11-05
ISBN: 1799841871
Category: Computers
Language: EN, FR, DE, ES & NL

Emerging Trends in IoT and Integration with Data Science Cloud Computing and Big Data Analytics Book Excerpt:

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Handbook of Research on Big Data and the IoT

Handbook of Research on Big Data and the IoT
Author: Kaur, Gurjit,Tomar, Pradeep
Publsiher: IGI Global
Total Pages: 568
Release: 2019-03-29
ISBN: 1522574336
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data and the IoT Book Excerpt:

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Computing Handbook Third Edition

Computing Handbook  Third Edition
Author: Heikki Topi,Allen Tucker
Publsiher: CRC Press
Total Pages: 1522
Release: 2014-05-14
ISBN: 1439898545
Category: Mathematics
Language: EN, FR, DE, ES & NL

Computing Handbook Third Edition Book Excerpt:

Computing Handbook, Third Edition: Information Systems and Information Technology demonstrates the richness and breadth of the IS and IT disciplines. The second volume of this popular handbook explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management Like the first volume, this second volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.

Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination

Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination
Author: Chisita, Collence Takaingenhamo,Enakrire, Rexwhite Tega,Durodolu, Oluwole Olumide,Tsabedze, Vusi Wonderboy,Ngoaketsi, Joseph M.
Publsiher: IGI Global
Total Pages: 538
Release: 2021-01-15
ISBN: 1799866203
Category: Language Arts & Disciplines
Language: EN, FR, DE, ES & NL

Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination Book Excerpt:

The convergence of technologies and emergence of interdisciplinary and transdisciplinary modus of knowledge production justify the need for research that explores the disinterestedness or interconnectivity of the information science disciplines. The quantum leap in knowledge production, increasing demand for information and knowledge, changing information needs, information governance, and proliferation of digital technologies in the era of ubiquitous digital technologies justify research that employs a holistic approach in x-raying the challenges of managing information in an increasingly knowledge- and technology-driven dispensation. The changing nature of knowledge production for sustainable development, along with trends and theory for enhanced knowledge coordination, deserve focus in current times. The Handbook of Research on Records and Information Management Strategies for Enhanced Knowledge Coordination draws input from experts involved in records management, information science, library science, memory, and digital technology, creating a vanguard compendium of novel trends and praxis. While highlighting a vast array of topics under the scope of library science, information science, knowledge transfer, records management, and more, this book is ideally designed for knowledge and information managers, library and information science schools, policymakers, practitioners, stakeholders, administrators, researchers, academicians, and students interested in records and information management.

Reliability and Survival Analysis

Reliability and Survival Analysis
Author: Md. Rezaul Karim,M. Ataharul Islam
Publsiher: Springer
Total Pages: 252
Release: 2019-08-09
ISBN: 9811397767
Category: Medical
Language: EN, FR, DE, ES & NL

Reliability and Survival Analysis Book Excerpt:

This book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences.

Technologies and Applications for Big Data Value

Technologies and Applications for Big Data Value
Author: Edward Curry
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030783073
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Technologies and Applications for Big Data Value Book Excerpt:

Handbook of Research on Big Data Clustering and Machine Learning

Handbook of Research on Big Data Clustering and Machine Learning
Author: Garcia Marquez, Fausto Pedro
Publsiher: IGI Global
Total Pages: 478
Release: 2019-10-04
ISBN: 1799801071
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Big Data Clustering and Machine Learning Book Excerpt:

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.