Current Issue
Volume
30
year
2024
Issue
1

Archive

AUTHOR'S GUIDELINES

ABSTRACT GUIDELINES

SUBMIT AN ARTICLE

SCIENTFIC AND RESEARCH PROFILE

PUBLICATION ETHICS

PEER REVIEW POLICY

ABSTRACTING AND INDEXING

EDITORIAL BOARD

INTERNATIONAL EDITORIAL BOARD

PUBLISHER


Economic Alternatives articles are published open access under a Creative Commons CC BY 4.0 user licence

ADDRESS OF THE EDITORIAL OFFICE

ISSN (print): 1312-7462
ISSN (online): 2367-9409
4 issues per year


The conceptions of the authors express their personal opinion and do not engage the editors of the journal.

The Editorial Board is committed to open science and free access to scientific publications.

No Article Processing Charges apply. The Publisher allows for immediate free access to the work and permits any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose. 

Every manuscript received will be checked for plagiarism.

Typeset by:

UNWE Publishing Complex

Printed by:

UNWE Publishing Complex

Big Data Approach and Dimensions for Educational Industry Economic Alternatives
year
2015
Issue
4

Big Data Approach and Dimensions for Educational Industry

Abstract

The dynamic environment we live in now is not driven by any specific business or product – the real engine for change are the customers. Businesses are using constantly growing amounts of information. In this respect they need adequate storage resources and innovative methods and technologies for managing the data and information. The phenomenon Big Data appears to describe the next generation of new data sources that will support the next level of information management and analytics penetration in business, academia and government. These solutions will radically change the way organizations work and manage their business. Big Data approach appears because data processing and analytical needs today are not possible within the traditional environment. Some of the Big Data source characteristics refer to the new types of data sources, the automatic generation by a machine and the absence of standardised and concretely designed way of streaming data. Big Data approach grows with generated bulks of data, but it is not related only to data volume. Big Data definitions are generally accepted to be explained with the substance of the three Vs - velocity, variety, and volume. This paper presents the most exhaustive aspects of Big Data and presents additional four Vs - veracity, variability, visualization, and value. It is hard to identify a unique reason for the explosive growth of data. The paper focuses on the four main directions of change in the world of data - business model transformation, globalization, personalization of services, and new sources of data. The role of Big Data is changing the whole world. Big Data could give unique opportunities for the educational sector development as well, and improvements could scale – from a single school, to governmental directions and satisfaction of the labour market. Big Data could support changes in education that would revolutionize all educational aspects - the way students learn, teachers teach, administrators manage, employers select and develop staff.

Keywords

Big Data, Business Intelligence Systems
Download 5-Stefanova-Kabakchieva.pdf