scholarly journals Ethical Arguments and Prospects of Utilizing Big Data in Information Age

2016 ◽  
Vol 1 (108) ◽  
pp. 227-248
Author(s):  
송선영 ◽  
Kim Hang-In
Keyword(s):  
Big Data ◽  
Information Age

A study of big data evolution and research challenges

2018 ◽  
Vol 45 (3) ◽  
pp. 322-340 ◽  
Author(s):  
Deepak Gupta ◽  
Rinkle Rani
Keyword(s):  
Big Data ◽  
Data Stream ◽  
Information Age ◽  
Tidal Wave ◽  
Digital Data ◽  
Data Driven ◽  
Research Challenges ◽  
Wide Gap ◽  
Almost All ◽  
Data Evolution

The world is already into the information age. The huge growth of digital data has overwhelmed the traditional systems and approaches. Big data is touching almost all aspects of our life and the data-driven discovery approach is an emerging paradigm for computing. The ever-growing data provides a tidal wave of opportunities and challenges in terms of data capture, storage, manipulation, management, analysis, knowledge extraction, security, privacy and visualisation. Though the promise of big data seems to be genuine, still a wide gap exists between its potential and realisation. In last few years, there is a huge surge in research efforts in academia as well as industry to have a better understanding of big data. This article discusses the following: (1) big data evolution including a bibliometric study of academic and industry publications pertaining to big data during the period 2000–2017, (2) popular open-source big data stream processing frameworks and (3) prevalent research challenges which must be addressed to realise the true potential of big data.

scholarly journals Big Data analysis: Intelligent Transportation Development Engine

2014 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Qin Xiao
Keyword(s):  
Big Data ◽  
Intelligent Transportation Systems ◽  
Low Cost ◽  
Information Age ◽  
Large Data ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Demand ◽  
Advantages And Disadvantages ◽  
Transportation Development

<p>With the development of the times, people have unwittingly entered the information age. The information age has become a large amount of data bursting characteristics of the new era. In this feature people still seek to improve the production and quality of life. For the development of intelligent transportation needs of people's lives and make the real world, but in the construction of intelligent transportation among a large number of information data also adds to its change and difficulty, how to build an intelligent era of big data, security, low-cost, efficient and convenient of intelligent transportation systems become today people study. From the era of big data to intelligent traffic changes brought advantages and disadvantages, the era of big data to bring intelligent traffic problems and challenges, as well as the integration platform for massive data intelligent transportation intelligent transportation demand and large data structures has done a simple elaborate, it can provide some suggestions for areas of research that scientists.</p>

Role of Big Data in Continuous Improvement Environments

2019 ◽  
Vol 9 (1) ◽  
pp. 53-72 ◽  
Author(s):  
Brian J. Galli
Keyword(s):  
Big Data ◽  
Continuous Improvement ◽  
Measurement System ◽  
Business Processes ◽  
Information Age ◽  
Performance Measurement System ◽  
Organizational Changes ◽  
Business Associations ◽  
Data Points

Innovation technologies are used for consistent and continuous improvement, as well as for examining past executions in business. Furthermore, obtaining numerous bits of knowledge about a business can help to influence planning and future choices. A way to create connections between various data points is through big data. Currently, business processes face many challenges because of technological headway and information age. Since big data has grown and become so popular, it is possible to apply it to unique and conventional business associations. Additionally, if big data is used to meet the business's needs, then it can yield organizational changes in infrastructure and real-world improvement. Through big data, analysts can reveal continuous improvement methods and a performance measurement system in data administration, as well as management, transactions, and convey central leadership.

scholarly journals The dynamics and potentials of big data for audience research

2017 ◽  
Vol 40 (1) ◽  
pp. 59-74 ◽  
Author(s):  
Adrian Athique
Keyword(s):  
Big Data ◽  
Information Age ◽  
User Generated Content ◽  
Audience Research ◽  
Commercial Exploitation ◽  
Critical Gap ◽  
The Future

This article considers the future of audience research in an era of big data. It does so by interrogating the dynamics and potentials of the big data paradigm in an era of user-generated content and commercial exploitation. In this context, it is proposed that the major dynamics of big data are a conjoint application of numerology and alchemy in the information age. On this basis, the potentials of new data techniques are addressed in light of the critical gap between audience data and the audiences themselves.

Technology and the Limites of the Information Age circa 2002

2014 ◽  
Vol 18 (3) ◽  
pp. 225-242
Author(s):  
Derek Faux ◽  
Keyword(s):  
Big Data ◽  
Social Relations ◽  
Cell Phone ◽  
Final Section ◽  
Information Age ◽  
Relevant Information ◽  
Social Consequences ◽  
Significant Information ◽  
Democratic Control ◽  
New Methodologies

This essay examines three competing views of technological change, developed at the beginning of the millennium, and their impact on our lives. The discussion will lead to three conclusions. First, we must be involved in decisions about how technology is regulated and used. Second, we should be wary not to consider all technologies as having the same effects. The cell phone is neither the personal computer nor the television, and there is no reason to consider each as having the same potential social consequences. Third, new methodologies must be developed to account for any changes in social relations that come about as a result of our adoption of these technologies. In the final section of the essay, the consequences of contemporary technologies on what it means to be human are briefly discussed. Rather than substitute technology for democracy or big data for the ability to find significant information, we must take democratic control of these technologies and affirm our humanity. Indeed, I argue along with noted commentators on technology that what makes us human is our ability to sort and find relevant information, reflect on our actions and take risks in associating with other humans. These are things that we must always bear in mind if we are to flourish in the information age.

scholarly journals An Empirical Study on Innovation of College Blended Teaching under Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Qianqian Xie ◽  
Sang-Bing Tsai
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Learning Experience ◽  
Information Age ◽  
Big Data Analysis ◽  
Teaching Model ◽  
Application Technology ◽  
Teaching Mode ◽  
Teaching Content ◽  
Blended Teaching

With the advent of the information age, the way people obtain information has changed profoundly. The wave of informationization in higher education has also come with it, and the teaching mode, teaching content, and teaching form are constantly innovated. How to organically integrate information technology into education teaching in order to care for learners’ learning experience and promote the cultivation of new talents is an issue that current educational technology researchers need to pay great attention to. This paper first builds a complete blended teaching model of public English for higher education, but its application effect needs to be further examined. This paper is an investigation in the background of the current era to build a blended teaching model. Based on the continuous development of the era, the ideology and application technology of this field will keep upgrading, so the teaching model also needs to be changed and updated according to the characteristics of the development of the era. The investigation of mixed teaching modes is not permanent. The investigation of the mixed teaching mode is not permanent. At present, only a few courses apply the blended teaching mode. On the basis of the continuous updating of teaching concepts and the latest technologies, it is foreseen that the focus of subsequent investigations will be on the individualized development of the blended teaching mode.

scholarly journals Research on the Practice of Communication Education Curriculum under the Background of Big Data

2020 ◽  
Vol 2 (4) ◽  
pp. 87
Author(s):  
Yuan Du
Keyword(s):  
Big Data ◽  
Communication Technology ◽  
Information Age ◽  
Traditional Teaching ◽  
Communication Education ◽  
Teaching Mode ◽  
New Era ◽  
Teaching Efficiency ◽  
Technology College ◽  
Big Data Technology

With the advent of the information age, the function of big data is becoming more and more powerful in the new era. In the process of news dissemination in colleges and universities, there are many deficiencies that affect teaching efficiency, such as strict teaching methods in traditional teaching mode, insufficient learning initiative of students, and poor practical ability. With the help of information technology and modern big data technology, college news communication technology can create rich and varied teaching environment for students, guide students to practice and promote the improvement of comprehensive quality.

scholarly journals Development of Cost and Schedule Data Integration Algorithm Based on Big Data Technology

2020 ◽  
Vol 10 (24) ◽  
pp. 8917
Author(s):  
Daegu Cho ◽  
Myungdo Lee ◽  
Jihye Shin
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Information Age ◽  
Paradigm Shifts ◽  
Integration Algorithm ◽  
Edge Information ◽  
Significant Challenge ◽  
Integrated Cost ◽  
Big Data Technology

In the information age, the role of data in any industry is getting more and more important. In the construction industry, however, experts’ experience and intuition are still key determinants in decision-making, while other industries achieve tangible improvement in paradigm shifts by adopting cutting-edge information technology. Cost and schedule controls, which are closely connected, are decisive in the success of construction project execution. While a vast body of research has developed methodologies for cost-schedule integration over 50 years, there is no method used in practice; it remains a significant challenge in the construction industry. This study aims to propose a data processing algorithm for integrated cost-schedule data management employing big data technology. It is designed to resolve the main obstacle to the practicality of existing methods by providing integrity and flexibility in integrating cost-schedule data and reducing time on building and changing databases. The proposed algorithm is expected to transform field engineers’ current perception regarding information management as one of the troublesome tasks in a data-friendly way.

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