DATA LAKES AS DATA STORE FOR BIG DATA. ANALYZING AWS APPROACH
Geno Stefanov
Additional contact information
Geno Stefanov: University of National and World Economy, Sofia, Bulgaria
Innovative Information Technologies for Economy Digitalization (IITED), 2023, issue 1, 108-112
Abstract:
Data Lakes have become an integral part of Big Data in their role as storage for heterogeneous and large-volume data. Data lakes offer all the necessary tools to store Big Data. These tools can vary depending on the software vendor. Amazon Web Services (AWS) as one of the major Big Data service providers is a suitable choice to analyze the benefits and challenges of storing Big Data in Data Lakes. In addition, the AWS approach will be discussed in detail.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.unwe.bg/doi/iited/2023/IITED.2023.15.pdf (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:iitfed:y:2023:i:1:p:108-112
Access Statistics for this article
More articles in Innovative Information Technologies for Economy Digitalization (IITED) from University of National and World Economy, Sofia, Bulgaria Contact information at EDIRC.
Bibliographic data for series maintained by Vanya Lazarova ().