Non Relational Models for the Management of Large Amount of Astronomical Data
The objective of this paper is the comparison between two different database typologies: the relational and the nonrelational architecture, in the context of the applications related to the use and distribution of astronomical data. The specific context is focused to problems quite different from th...
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doaj-f1f0a8b195d143acba69b162290f9f802020-11-24T23:36:22ZengCTU Central LibraryActa Polytechnica CTU Proceedings2336-53822015-02-012129329610.14311/APP.2015.02.02932688Non Relational Models for the Management of Large Amount of Astronomical DataB. L. Martino0M. Federici1Associated INAF IAPSIstituto di Astrofisica e Planetologia Spaziali, INAF IAPS Via fosso del Cavaliere 100, 00133 Roma, ItalyThe objective of this paper is the comparison between two different database typologies: the relational and the nonrelational architecture, in the context of the applications related to the use and distribution of astronomical data. The specific context is focused to problems quite different from those related to administrative and managerial environments within which were developed the leading technologies on which are based the modern systems of massive storage of data. The data provided by astronomical instrumentation are usually filtered out by the front-end system (trigger, anticoincidence, DSP etc.), so they do not require special controls of congruence. Moreover, the related storage systems must be able to ensure an easy growth, minimizing human systemistic interventions and automating the related actions. The use of a non-relational architecture (NoSQL), offers great advantages during the insertion of informations within a data base, while the response speed of the queries is mainly tied to their type and complexity.https://ojs.cvut.cz/ojs/index.php/APP/article/view/2930 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
B. L. Martino M. Federici |
spellingShingle |
B. L. Martino M. Federici Non Relational Models for the Management of Large Amount of Astronomical Data Acta Polytechnica CTU Proceedings |
author_facet |
B. L. Martino M. Federici |
author_sort |
B. L. Martino |
title |
Non Relational Models for the Management of Large Amount of Astronomical Data |
title_short |
Non Relational Models for the Management of Large Amount of Astronomical Data |
title_full |
Non Relational Models for the Management of Large Amount of Astronomical Data |
title_fullStr |
Non Relational Models for the Management of Large Amount of Astronomical Data |
title_full_unstemmed |
Non Relational Models for the Management of Large Amount of Astronomical Data |
title_sort |
non relational models for the management of large amount of astronomical data |
publisher |
CTU Central Library |
series |
Acta Polytechnica CTU Proceedings |
issn |
2336-5382 |
publishDate |
2015-02-01 |
description |
The objective of this paper is the comparison between two different database typologies: the relational and the nonrelational architecture, in the context of the applications related to the use and distribution of astronomical data. The specific context is focused to problems quite different from those related to administrative and managerial environments within which were developed the leading technologies on which are based the modern systems of massive storage of data. The data provided by astronomical instrumentation are usually filtered out by the front-end system (trigger, anticoincidence, DSP etc.), so they do not require special controls of congruence. Moreover, the related storage systems must be able to ensure an easy growth, minimizing human systemistic interventions and automating the related actions. The use of a non-relational architecture (NoSQL), offers great advantages during the insertion of informations within a data base, while the response speed of the queries is mainly tied to their type and complexity. |
url |
https://ojs.cvut.cz/ojs/index.php/APP/article/view/2930 |
work_keys_str_mv |
AT blmartino nonrelationalmodelsforthemanagementoflargeamountofastronomicaldata AT mfederici nonrelationalmodelsforthemanagementoflargeamountofastronomicaldata |
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1725523903851266048 |