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

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.

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Research of Net Users by Means of Big Data Technology

SHS Web of Conferences ◽

10.1051/shsconf/202110001021 ◽

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.

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Data Quality Issues Concerning Statistical Data Gathering Supported by Big Data Technology

Communications in Computer and Information Science - Beyond Databases, Architectures, and Structures ◽

10.1007/978-3-319-06932-6_10 ◽

2014 ◽

pp. 92-101 ◽

Cited By ~ 2

Author(s):

Jacek Maślankowski

Keyword(s):

Big Data ◽

Data Quality ◽

Statistical Data ◽

Data Gathering ◽

Quality Issues ◽

Big Data Technology

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

Proceedings of the 4th International Conference “Futurity designing. Digital reality problems” ◽

10.20948/future-2021-11 ◽

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.

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Application of Association Rule Data Mining in Statistical Analysis of College Students' Mental Health

CONVERTER ◽

10.17762/converter.250 ◽

2021 ◽

pp. 716-724

Author(s):

Hongrui Zhang

Keyword(s):

Mental Health ◽

College Students ◽

Data Mining ◽

Big Data ◽

Data Analysis ◽

Statistical Analysis ◽

Statistical Data ◽

Knowledge Map ◽

Statistical Indicators ◽

Big Data Technology

Strengthening the application of big data technology in data analysis can effectively improve the service capability and level of relevant statistics, and provide comprehensive and reliable information support for macro decision-making and trend analysis. This paper comprehensively reviews the research status of big data technology in the field of college students' mental health at home and abroad. Combining with the characteristics of college students' mental health statistical data and the weaknesses in statistical analysis, the feasibility of using knowledge mapping technology is demonstrated. On this basis, the blood relationship graph and influence analysis among the statistical indicators of college students' mental health were constructed through the knowledge map. The application of the knowledge map of college students' mental health statistical indicators in statistical data analysis, statistical indicator identification and statistical data quality management is proposed. Specifically, based on the concept of big data, we can establish a decision analysis platform for college students' mental health. Based on the big data technology, the data mining and analysis ability can be enhanced. In addition, it can change the traditional thinking of college students' mental health statistics and strengthen the construction of statistical team.

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Implementing Integrity Assurance System for Big Data

10.21203/rs.3.rs-485987/v1 ◽

2021 ◽

Author(s):

Fawaz Alyami ◽

Saad Almutairi

Keyword(s):

Big Data ◽

Programming Languages ◽

Statistical Data ◽

Statistical Data Analysis ◽

Data Validity ◽

The Subject ◽

Verification Process ◽

Integrity Assurance ◽

Real Test ◽

Big Data Technology

Abstract With the rapid advancement of big data technology and statistical data analysis solutions, the computing of big data and its services has become the subject of research and popular applications. There are many problems related to data quality that lead to making wrong decisions in institutions and companies. Current research rarely discusses how to validate data effectively to ensure its quality Integrity is data validity. It is a task that is not an easy task that is usually undertaken in national statistical organizations and institutions. There is an urgent need to produce a general framework to verify the integrity of big data. This methodology has been devoted to proposing a model that works on data integrity, especially big data, and how to address the validation process. The data also includes the validity of the data fields and the validity of measuring the data and assessing the compatibility with the data cycle chain. The speed of the processing process and the accuracy of the verification process for the integrity of big data are considered. Based on using the latest technologies and programming languages, the research was based on the programming language in Python and real test data.

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Small Industry, Gimmicks and Moscow Statistics, or How the Small Russian Enterprise Came into the World (Russian Physiological Sketch, 1830-1840)

Voprosy Ekonomiki ◽

10.32609/0042-8736-2009-8-123-129 ◽

2009 ◽

pp. 123-129

Author(s):

Yu. Golubitsky

Keyword(s):

Small Businesses ◽

Statistical Data ◽

Russian Enterprise ◽

Small Enterprises ◽

Business Practices ◽

Way Of Life ◽

The World ◽

Small Industry ◽

Xix Century

The article considers business practices of Moscow small industry in the XIX century, basing upon physiological sketches of N. Polevoy and I. Kokorev, statistical data and the classification of professions are also presented. The author claims that the heroes of the analyzed sketches are the forefathers of Moscow small businesses and shows what a deep similarity their occupations and a way of life bear to the present-day routine existence of small enterprises.

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The beginning of phygital world

South Asian Journal of Engineering and Technology ◽

10.26524/sajet.2020.2.7 ◽

2020 ◽

Vol 10 (2) ◽

pp. 1-4

Author(s):

Evgeny Soloviov ◽

Alexander Danilov

Keyword(s):

Big Data ◽

Learning Styles ◽

21St Century ◽

Digital Technology ◽

Aviation Education ◽

Digital World ◽

The World ◽

Unique Experience ◽

Smart Data

The Phygital word itself is the combination pf physical and digital technology application.This paper will highlight the detail of phygital world and its importance, also we will discuss why its matter in the world of technology along with advantages and disadvantages.It is the concept and technology is the bridge between physical and digital world which bring unique experience to the users by providing purpose of phygital world. It is the technology used in 21st century to bring smart data as opposed to big data and mix into the broader address of array of learning styles. It can bring new experience to every sector almost like, retail, medical, aviation, education etc. to maintain some reality in today’s world which is developing technology day to day. It is a general reboot which can keep economy moving and guarantee the wellbeing of future in terms of both online and offline.

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