{"title":"A Systematic Literature Map on Big Data","authors":"Rogerio Rossi, Kechi Hirama, Eduardo Ferreira Franco","doi":"arxiv-2408.05253","DOIUrl":null,"url":null,"abstract":"The paradigm of Big Data has been established as a solid field of studies in\nmany areas such as healthcare, science, transport, education, government\nservices, among others. Despite widely discussed, there is no agreed definition\nabout the paradigm although there are many concepts proposed by the academy and\nindustry. This work aims to provide an analytical view of the studies conducted\nand published regarding the Big Data paradigm. The approach used is the\nsystematic map of the literature, combining bibliometric analysis and content\nanalysis to depict the panorama of research works, identifying patterns,\ntrends, and gaps. The results indicate that there is still a long way to go,\nboth in research and in concepts, such as building and defining adequate\ninfrastructures and standards, to meet future challenges and for the paradigm\nto become effective and bring the expected benefits.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"59 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.05253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paradigm of Big Data has been established as a solid field of studies in
many areas such as healthcare, science, transport, education, government
services, among others. Despite widely discussed, there is no agreed definition
about the paradigm although there are many concepts proposed by the academy and
industry. This work aims to provide an analytical view of the studies conducted
and published regarding the Big Data paradigm. The approach used is the
systematic map of the literature, combining bibliometric analysis and content
analysis to depict the panorama of research works, identifying patterns,
trends, and gaps. The results indicate that there is still a long way to go,
both in research and in concepts, such as building and defining adequate
infrastructures and standards, to meet future challenges and for the paradigm
to become effective and bring the expected benefits.