Cargando…

Measuring the data universe: data integration using statistical data and metadata exchange

This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well t...

Descripción completa

Detalles Bibliográficos
Autores principales: Stahl, Reinhold, Staab, Patricia
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-76989-9
http://cds.cern.ch/record/2622009
_version_ 1780958536254095360
author Stahl, Reinhold
Staab, Patricia
author_facet Stahl, Reinhold
Staab, Patricia
author_sort Stahl, Reinhold
collection CERN
description This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one. Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking – driving the block chain revolution or making smart phones even smarter – success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure. Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.
id cern-2622009
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Springer
record_format invenio
spelling cern-26220092021-04-21T18:48:55Zdoi:10.1007/978-3-319-76989-9http://cds.cern.ch/record/2622009engStahl, ReinholdStaab, PatriciaMeasuring the data universe: data integration using statistical data and metadata exchangeMathematical Physics and MathematicsThis richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange). As such, it is a must for data experts as well those aspiring to become one. Today, exponentially growing data worlds are increasingly determining our professional and private lives. The rapid increase in the amount of globally available data, fueled by search engines and social networks but also by new technical possibilities such as Big Data, offers great opportunities. But whatever the undertaking – driving the block chain revolution or making smart phones even smarter – success will be determined by how well it is possible to integrate, i.e. to collect, link and evaluate, the required data. One crucial factor in this is the introduction of a cross-domain order system in combination with a standardization of the data structure. Using everyday examples, the authors show how the concepts of statistics provide the basis for the universal and standardized presentation of any kind of information. They also introduce the international statistics standard SDMX, describing the profound changes it has made possible and the related order system for the international statistics community.Springeroai:cds.cern.ch:26220092018
spellingShingle Mathematical Physics and Mathematics
Stahl, Reinhold
Staab, Patricia
Measuring the data universe: data integration using statistical data and metadata exchange
title Measuring the data universe: data integration using statistical data and metadata exchange
title_full Measuring the data universe: data integration using statistical data and metadata exchange
title_fullStr Measuring the data universe: data integration using statistical data and metadata exchange
title_full_unstemmed Measuring the data universe: data integration using statistical data and metadata exchange
title_short Measuring the data universe: data integration using statistical data and metadata exchange
title_sort measuring the data universe: data integration using statistical data and metadata exchange
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-76989-9
http://cds.cern.ch/record/2622009
work_keys_str_mv AT stahlreinhold measuringthedatauniversedataintegrationusingstatisticaldataandmetadataexchange
AT staabpatricia measuringthedatauniversedataintegrationusingstatisticaldataandmetadataexchange