scholarly journals Program controlled network devices based on Big Data technology as a priority direction for the development of global electronics

2021 ◽  
Author(s):  
Petr Arkadyevich Vernik
Keyword(s):  
Big Data ◽  
Digital Technologies ◽  
Management Systems ◽  
Adaptive Control System ◽  
Integrated Network ◽  
New Approach ◽  
Economic Paradigm ◽  
The World ◽  
Priority Direction ◽  
Big Data Technology

The transition to the sixth techno-economic paradigm requires a revision of approaches to the construction of management systems in all sectors of the economy. The article considers a promising direction of the world electronics development, which is based on a new approach to composition of program adaptive control system of integrated network devices using digital technologies, such as Big Data, artificial intelligence, cloud computing.

scholarly journals The importance of big data technology

2018 ◽  
Vol 7 (4.5) ◽  
pp. 485
Author(s):  
Samson Fadiya ◽  
Arif Sari
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Management Systems ◽  
Apache Hadoop ◽  
Industry Standard ◽  
Data Framework ◽  
Efficiency And Effectiveness ◽  
Relational Database Management ◽  
Big Data Technology

The adoption of Web 2.0 technologies, Internet of Things, etc. by individuals and organization has led to an explosion of data. As it stands, existing Relational Database Management Systems (RDBMSs) are incapable of handling this deluge of data. The term Big Data was coined to represent these vast, fast and complex datasets that regular RDBMSs could not handle. Special tools or frameworks were developed to deal with processing, managing and storing this big data. These tools are capable of functioning in distributed industry- standard environments thereby maintaining efficiency and effectiveness at a business level. Apache Hadoop is an example of such a framework. This report discusses big data, it origins, opportunities and challenges that it presents, big data analytics and the application of big data using existing big data tools or frameworks. It also discusses Apache Hadoop as a big data framework and provides a basic overview of this technology from technological and business perspectives.  

scholarly journals INFORMATIZATION OF PROFESSIONAL EDUCATION: ADVANTAGES AND DISADVANTAGES

2020 ◽  
Vol 22 (75) ◽  
pp. 5-8
Author(s):  
V.R. Avetisyan ◽  
Keyword(s):  
Higher Education ◽  
Continuing Education ◽  
Professional Education ◽  
Digital Technologies ◽  
Educational Environment ◽  
General Description ◽  
New Approach ◽  
World Picture ◽  
Advantages And Disadvantages ◽  
The World

The modern educational environment is undergoing a number of innovations and transformations. One of them is the Informatization of professional education. Like any innovation, it is both supported and criticized. Digital technologies are not only a tool, but also a kind of new approach in the learning process. They allow you to conduct classes at any convenient time. Contribute to the development of continuing education, the ability to design individual educational routes. However, Informatization of higher education requires teachers to have a different mentality, perception of the world picture, and completely different approaches and forms of working with students. This article provides a General description of the information educational environment in which it resides today. It also provides information that considers it as one of the alternative forms of higher education

scholarly journals Research on XBRL Continuous Internal Audit under the Big Data

2021 ◽  
Vol 2050 (1) ◽  
pp. 012016
Author(s):  
Yong Wen
Keyword(s):  
Big Data ◽  
Relevant Literature ◽  
Digital Technologies ◽  
Internal Audit ◽  
Internal Auditing ◽  
Audit Process ◽  
New Models ◽  
Important Means ◽  
The Impact ◽  
Big Data Technology

Abstract The development of digital industrialization has promoted the continuous emergence of new industries, new formats and new models, and has also promoted the transformation of the traditional internal audit model to digital and intelligent. Big data, cloud computing, XBRL, artificial intelligence and other digital technologies are important means to achieve full audit coverage, big data audit has become a hot topic in the current audit field, relevant literature mainly focuses on the impact of big data on traditional audit concepts and audit methods, the impact and risks of big data technology on informatization audits, and how the auditing community responds. However, the research on the integration of big data technology and XBRL technology into continuous internal auditing is relatively rare. Based on the introduction of three XBRL continuous internal audit models, this article analyzes the continuous internal audit process of the XBRL information system, and discusses the application of big data technology in XBRL continuous internal audit.

scholarly journals SISTEM PENGELOLAAN KEARSIPAN Google MELALUI BIG DATA

2020 ◽  
Vol 15 (2) ◽  
pp. 21-20
Author(s):  
Aldha Shafrielda Sihab ◽  
Anugerah Pagiyan Nurfajar
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Secondary Data ◽  
Data Sources ◽  
The World ◽  
Library Studies ◽  
Secondary Data Sources ◽  
Learning Machine ◽  
Crucial Part ◽  
Big Data Technology

Big data is an newest trend that embraces the world of technology and business. It's a data collection so large and complex that it no longer allows it to be managed with traditional software tools. One of the world's companies moving in big data technology is Google.Inc. This company maintains and districts data for various purposes, so its presence is urgently needed. As the development of data in Google has been a crucial part of the digital age, resulting in several breakthroughs. First Google data can hold files effectively as well as easily be accessed by people. Both big data can easily call back specifically through Google's learning machine. The study was conducted using qualitative diskirtive methods with secondary data sources through library studies.

scholarly journals Managing the Intellectual Potential in the Business-Network of Innovative Digital Technologies

2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Natalia V. Trusova ◽  
Roman I. Oleksenko ◽  
Sergey V. Kalchenko ◽  
Denys V. Yeremenko ◽  
Stanislava R. Pasieka ◽  
...  
Keyword(s):  
Business Models ◽  
Methodological Approach ◽  
Effective Interaction ◽  
Digital Technologies ◽  
Business Network ◽  
Integrated Network ◽  
Business System ◽  
The World ◽  
Intellectual Assets ◽  
Intellectual Potential

The article considers the synergy of managing the intellectual potential of the enterprise in the business-network of innovative digital technologies. The paradigm of development of intellectual potential of enterprises in the network system of innovative digital technologies is presented, which determines the spatial-technological, information-virtual, intellectual security of economic entities, taking into account tools and components of inclusive growth in their transformation of business models and new markets. A methodological approach to the management of effective interaction of enterprises which determines the shift of entropy of their magnitude of intellectual potential, and affects the business system with a limited duration of the network of innovative digital technologies is developed. The main value of integration processes in the business-network of innovative digital technologies of enterprises, which is formed due to their internal incentives, as innovators have market value and significant intellectual assets, they are always at the center of the economic environment. Mathematical tools for describing the functionality of an integrated network are systematized. Innovative digital technologies of enterprises with a significant amount of intellectual assets are based on differential equations. It is proved that the synergetic proximity and ability to asymptotic development, i.e., the increase of intellectual assets in a complex business system, causes the participating company to change the network of innovative digital technologies and reorient to the terms of compensation for invested resources. Inconsistency and non-acceptance of the rules of cooperation, weak influence of the network on the participant will lead to its inefficiency and withdrawal from the network, the choice of “off-network” vector of development. The analysis of the index of intellectual development and volumes of intellectual capital in Ukraine and in the world is carried out. The volumes and structure of attracted investments in intellectual assets by the sizes of the enterprises of Ukraine are determined. The rating position of Ukraine on the world level of development of innovative digital technologies is investigated. The factors of effective cooperation of enterprises according to the criteria of intellectual potential management in innovative digital technologies are substantiated and the areas of interaction of the participants of the innovation process are determined.

scholarly journals Research of Net Users by Means of Big Data Technology

2021 ◽  
Vol 100 ◽  
pp. 01021
Author(s):  
Irina Vdovychenko ◽  
Svitlana Khotskina ◽  
Mykola Khodukin ◽  
Ilyos Mamanazarov
Keyword(s):  
Big Data ◽  
Young People ◽  
Programming Language ◽  
Information Technologies ◽  
Research Results ◽  
The World ◽  
Modern Information ◽  
Big Data Technology

The presented article offers the review of means, methods and possibilities of one of the most welcomed modern information technologies – Big Data. The popularity of the technology is grounded in the work. The sources of the big data, the speed of their appearance, amounts of information in the world are examined. The main specializations of the employees for the operation in the field of the structuralized and non-structuralized data of big amounts and the significant variety are marked. The scientific and practical directions and the structure of Big Data are analyzed. The examples of the Big Data use’s technology in the world are examined. The research results of the big data, received from the Ukrainian sites, are presented in the article. The possibilities of the programming language R, as one of the leading instrumental means of the Big Data technology, were used in the work. The research aim was to define the attendance frequency’s dependence of different sites by the young people, aged from 17 to 35 years old, upon their sex, provision of job, incomes and age. The authors present the obtained results and offer directions of the activity, where they may be used.

APPLICATION OF INNOVATIVE "BIG DATA" TECHNOLOGY IN VARIOUS BUSINESS SECTORS

2020 ◽  
Author(s):  
Vadim Alexandrovich Shiganov ◽  
◽  
Tatyana Germanovna Sakova ◽  
Keyword(s):  
Big Data ◽  
Statistical Data ◽  
The World ◽  
Business Sectors ◽  
Big Data Technology

The article discusses the main characteristics of modern Big data technology, as well as provides statistical data on the use of this technology in various fields of activity around the world.

scholarly journals COUNTERACTION TO THE COMMISSION OF CONTACTLESS CRIMES USING DIGITAL TECHNOLOGY

2020 ◽  
pp. 49-55
Author(s):  
E. V. Feldman ◽  
Keyword(s):  
Big Data ◽  
Russian Federation ◽  
Digital Technology ◽  
Digital Technologies ◽  
Important Conclusion ◽  
The Russian Federation ◽  
Analytical System ◽  
Illicit Trafficking ◽  
Big Data Technology

The article discusses the issues of identifying methods of committing crimes related to the illicit trafficking of narcotic substances, as well as typical schemes of contact and contactless distribution of narcotic substances in the Russian Federation. More detailed attention is paid to the scheme of contactless distribution of narcotic substances and to the problems of counter-acting the commission of contactless crimes using digital technologies. In addition, the article proposes modern organizational, legal and technical directions of the fight against drug traf-ficking using digital technologies. An important conclusion was made that successful counter-action to the commission of contactless crimes is possible in those cases in which an analytical system will be used to conduct operational-search measures using digital technologies, ma-chine learning and Big Data technology.

scholarly journals Prospects for Using Big Data in Financial Analysis

2021 ◽  
Vol 110 ◽  
pp. 05004
Author(s):  
Igor Sadyrin ◽  
Olga Syrovatskay ◽  
Olga Leonova
Keyword(s):  
Big Data ◽  
Economic Activity ◽  
Financial Analysis ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Maximum Effect ◽  
Economic Activities ◽  
Analysis System ◽  
Effective Use ◽  
Big Data Technology

The ongoing digital transformation of the national economy inevitably sets the task of introducing digital technologies and tools into the practice of economic activities of organizations and enterprises. One of the areas of digitalization is Big Data technology, which in many ways is already being used in the field of finance. However, for the effective use of big data in the practice of financial analysis of economic activity, it is necessary to solve a variety of significant problems. The article discusses the promising directions of using big data in financial analysis procedures, which, being integrated into the system of forming various management decisions, can significantly increase their efficiency. The necessary elements of the financial analysis system, which, first of all, should be focused on the use of big data, are considered, as well as aspects that, when using digital technologies, can provide the maximum effect.

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

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