EconPapers    
Economics at your fingertips  
 

Big Data Challenges - Definition, Characteristics and Technologies

Stanimira Yordanova () and Kamelia Stefanova ()
Additional contact information
Stanimira Yordanova: University of National and World Economy, Sofia, Bulgaria
Kamelia Stefanova: University of National and World Economy, Sofia, Bulgaria

Nauchni trudove, 2019, issue 1, 13-31

Abstract: Volume, complexity, variety and velocity of generated data today reach incredible levels and data cannot be collected, selected, processed or managed through widely used and applied software tools. The need to extract meaningful information from big data evokes the development of new approaches and technologies for storing, processing and analyzing big data coming from different sources. This paper aims to present the definition, characteristics and technologies for storing and managing big data that require a new approach to understanding data and information.

Keywords: Big Data; Data Lake; Hadoop (search for similar items in EconPapers)
JEL-codes: C88 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://unwe-research-papers.org/bg/journalissues/article/10072 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nwe:natrud:y:2019:i:1:p:13-31

Access Statistics for this article

More articles in Nauchni trudove from University of National and World Economy, Sofia, Bulgaria Contact information at EDIRC.
Bibliographic data for series maintained by Vanya Lazarova ().

 
Page updated 2025-03-19
Handle: RePEc:nwe:natrud:y:2019:i:1:p:13-31