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Managing and Optimizing Big Data Workloads for On-Demand User Centric Reports

Authors :
Alexandra Băicoianu
Ion Valentin Scheianu
Source :
Big Data and Cognitive Computing, Vol 7, Iss 2, p 78 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The term “big data” refers to the vast amount of structured and unstructured data generated by businesses, organizations, and individuals on a daily basis. The rapid growth of big data has led to the development of new technologies and techniques for storing, processing, and analyzing these data in order to extract valuable information. This study examines some of these technologies, compares their pros and cons, and provides solutions for handling specific types of reporting using big data tools. In addition, this paper discusses some of the challenges associated with big data and suggests approaches that could be used to manage and analyze these data. The findings demonstrate the benefits of efficiently managing the datasets and choosing the appropriate tools, as well as the efficiency of the proposed solution with hands-on examples.

Details

Language :
English
ISSN :
25042289
Volume :
7
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Big Data and Cognitive Computing
Publication Type :
Academic Journal
Accession number :
edsdoj.ba9c3ce5e974649acfe56d87cf19f15
Document Type :
article
Full Text :
https://doi.org/10.3390/bdcc7020078