Cargando…

Principles of big data: preparing, sharing, and analyzing complex information

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly chang...

Descripción completa

Detalles Bibliográficos
Autor principal: Berman, Jules J
Lenguaje:eng
Publicado: Elsevier 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1568685
_version_ 1780931011428745216
author Berman, Jules J
author_facet Berman, Jules J
author_sort Berman, Jules J
collection CERN
description Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endo
id cern-1568685
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Elsevier
record_format invenio
spelling cern-15686852021-04-21T22:32:58Zhttp://cds.cern.ch/record/1568685engBerman, Jules JPrinciples of big data: preparing, sharing, and analyzing complex informationComputing and Computers Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endoElsevieroai:cds.cern.ch:15686852013
spellingShingle Computing and Computers
Berman, Jules J
Principles of big data: preparing, sharing, and analyzing complex information
title Principles of big data: preparing, sharing, and analyzing complex information
title_full Principles of big data: preparing, sharing, and analyzing complex information
title_fullStr Principles of big data: preparing, sharing, and analyzing complex information
title_full_unstemmed Principles of big data: preparing, sharing, and analyzing complex information
title_short Principles of big data: preparing, sharing, and analyzing complex information
title_sort principles of big data: preparing, sharing, and analyzing complex information
topic Computing and Computers
url http://cds.cern.ch/record/1568685
work_keys_str_mv AT bermanjulesj principlesofbigdatapreparingsharingandanalyzingcomplexinformation