scholarly journals The Development of Big Data Technology in the Consulting Services Market

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
Elena Deeva
Keyword(s):  
Big Data ◽  
Data Acquisition ◽  
Scientific Literature ◽  
Information Resources ◽  
Commercial Application ◽  
Unified Approach ◽  
Loss Of Information ◽  
Expensive Equipment ◽  
Consulting Services ◽  
Big Data Technology

Today, Big Data is one of the key economic and information resources needed to transform the digital economy and the competitiveness of a consulting firm. The analysis of scientific literature indicates the lack of a unified approach to the concept of "Big Data" in the consulting market. The development of Big Data technology in the market of consulting services and their commercial application is relevant. The article discusses the evolution of approaches to the concept of "Big Data", prospects and factors of development and sources of data acquisition. We also discussed the benefits of using big data technology. The research summarized available knowledge about the nature and development of Big Data technology in the consulting services market. The study revealed the power of the tool used by the analyst. The study identified a distinction between the terms "Deep Date" and "Big Date". We examined the following issues related to Big Data: the processing costs, in particular, expensive equipment, wages for qualified specialists, the problem of confidentiality and loss of information.

scholarly journals Integration and Optimization of Ancient Literature Information Resources Based on Big Data Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lingling Gu
Keyword(s):  
Big Data ◽  
Semantic Analysis ◽  
High Volume ◽  
Information Resources ◽  
Cultural Resources ◽  
Data Generation ◽  
Volume Data ◽  
Literature Information ◽  
Ancient Literature ◽  
Big Data Technology

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive, high-volume, high-volume data that requires new processing models to have stronger decision-making power, insight and discovery, process optimization capabilities, growth rate, and diversified information assets. This article aims to study the integration and optimization of ancient literature information resources of big data technology, that is, to integrate and optimize ancient literature information resources through big data technology and make the literature more systematic and complete, allowing readers to find and browse literature more conveniently. This paper focuses on the literary works and the related collation, annotation, and textual research results and divides the scope of each subtopic according to the genre. The biggest difference between the information platform built in this paper and the existing ancient books database is that it has the functions of semantic analysis, subject retrieval, data generation, and so on. After text learning, the computer can automatically classify related vocabulary. Based on the effective integration of big data and cultural resources, the experimental results of this article show that, so far, through technical optimization and resource integration, the number of ancient literature reincorporated has exceeded 12,000 copies, and more than 10,000 publications have been restored. Therefore, big data technology is essential for the integration and optimization of cultural resources.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology
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