A Systematic Literature Map on Big Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866913464727896064 |
|---|---|
| author | Rossi, Rogerio Hirama, Kechi Franco, Eduardo Ferreira |
| author_facet | Rossi, Rogerio Hirama, Kechi Franco, Eduardo Ferreira |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05253 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Systematic Literature Map on Big Data Rossi, Rogerio Hirama, Kechi Franco, Eduardo Ferreira Digital Libraries Artificial Intelligence Emerging Technologies H.0 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. |
| title | A Systematic Literature Map on Big Data |
| topic | Digital Libraries Artificial Intelligence Emerging Technologies H.0 |
| url | https://arxiv.org/abs/2408.05253 |