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A novel data storage logic in the cloud
Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. The solution is in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583739/ https://www.ncbi.nlm.nih.gov/pubmed/29026521 http://dx.doi.org/10.12688/f1000research.7727.2 |
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author | Mátyás, Bence Szarka, Máté Járvás, Gábor Kusper, Gábor Argay, István Fialowski, Alice |
author_facet | Mátyás, Bence Szarka, Máté Járvás, Gábor Kusper, Gábor Argay, István Fialowski, Alice |
author_sort | Mátyás, Bence |
collection | PubMed |
description | Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. The solution is increasing the virtual data tables while the number of screens remains the same. The main objective of the present study was to introduce a logic called Joker Tao (JT) which provides universal data storage for cloud-based databases. It means all types of input data can be interpreted as an entity and attribute at the same time, in the same data table. |
format | Online Article Text |
id | pubmed-5583739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-55837392017-10-11 A novel data storage logic in the cloud Mátyás, Bence Szarka, Máté Járvás, Gábor Kusper, Gábor Argay, István Fialowski, Alice F1000Res Method Article Databases which store and manage long-term scientific information related to life science are used to store huge amount of quantitative attributes. Introduction of a new entity attribute requires modification of the existing data tables and the programs that use these data tables. The solution is increasing the virtual data tables while the number of screens remains the same. The main objective of the present study was to introduce a logic called Joker Tao (JT) which provides universal data storage for cloud-based databases. It means all types of input data can be interpreted as an entity and attribute at the same time, in the same data table. F1000Research 2016-03-29 /pmc/articles/PMC5583739/ /pubmed/29026521 http://dx.doi.org/10.12688/f1000research.7727.2 Text en Copyright: © 2016 Mátyás B et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Mátyás, Bence Szarka, Máté Járvás, Gábor Kusper, Gábor Argay, István Fialowski, Alice A novel data storage logic in the cloud |
title | A novel data storage logic in the cloud |
title_full | A novel data storage logic in the cloud |
title_fullStr | A novel data storage logic in the cloud |
title_full_unstemmed | A novel data storage logic in the cloud |
title_short | A novel data storage logic in the cloud |
title_sort | novel data storage logic in the cloud |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583739/ https://www.ncbi.nlm.nih.gov/pubmed/29026521 http://dx.doi.org/10.12688/f1000research.7727.2 |
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