Modern BigData technologies to store and access metadata for the ATLAS experiment

Structured data storage technologies evolve very rapidly in the IT world, driven by BigData projects. LHC experiments, and ATLAS in particular, select and use these technologies to store a wealth of metadata, balancing the performance for a given set of use cases with the availability, ease of use a...

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Detalles Bibliográficos
Autor principal: Barberis, D
Lenguaje:eng
Publicado: 2018
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2690062
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author Barberis, D
author_facet Barberis, D
author_sort Barberis, D
collection CERN
description Structured data storage technologies evolve very rapidly in the IT world, driven by BigData projects. LHC experiments, and ATLAS in particular, select and use these technologies to store a wealth of metadata, balancing the performance for a given set of use cases with the availability, ease of use and of getting support, and stability of the product. Our community definitely and definitively moved from the “one fits all” (or “all has to fit into one”) paradigm to choosing the best solution for each group of data or metadata and for the applications that use these data. This paper describes the solutions in use, or under study, for the ATLAS experiment and their selection process and performance.
id oai-inspirehep.net-1739904
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling oai-inspirehep.net-17399042019-09-30T06:29:59Zhttp://cds.cern.ch/record/2690062engBarberis, DModern BigData technologies to store and access metadata for the ATLAS experimentComputing and ComputersStructured data storage technologies evolve very rapidly in the IT world, driven by BigData projects. LHC experiments, and ATLAS in particular, select and use these technologies to store a wealth of metadata, balancing the performance for a given set of use cases with the availability, ease of use and of getting support, and stability of the product. Our community definitely and definitively moved from the “one fits all” (or “all has to fit into one”) paradigm to choosing the best solution for each group of data or metadata and for the applications that use these data. This paper describes the solutions in use, or under study, for the ATLAS experiment and their selection process and performance.oai:inspirehep.net:17399042018
spellingShingle Computing and Computers
Barberis, D
Modern BigData technologies to store and access metadata for the ATLAS experiment
title Modern BigData technologies to store and access metadata for the ATLAS experiment
title_full Modern BigData technologies to store and access metadata for the ATLAS experiment
title_fullStr Modern BigData technologies to store and access metadata for the ATLAS experiment
title_full_unstemmed Modern BigData technologies to store and access metadata for the ATLAS experiment
title_short Modern BigData technologies to store and access metadata for the ATLAS experiment
title_sort modern bigdata technologies to store and access metadata for the atlas experiment
topic Computing and Computers
url http://cds.cern.ch/record/2690062
work_keys_str_mv AT barberisd modernbigdatatechnologiestostoreandaccessmetadatafortheatlasexperiment

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