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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Main Authors: B. L. Martino, M. Federici
Format: Article
Language:English
Published: CTU Central Library 2015-02-01
Series:Acta Polytechnica CTU Proceedings
Online Access:https://ojs.cvut.cz/ojs/index.php/APP/article/view/2930
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spelling 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
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