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The accidental data scientist: big data applications and opportunities for librarians and information professionals

Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in...

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Autor principal: Affelt, Amy
Lenguaje:eng
Publicado: Information Today 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/1972943
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author Affelt, Amy
author_facet Affelt, Amy
author_sort Affelt, Amy
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description Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus "Big Data" is not a new concept for them though it is spawning new approaches along with a language all its own. InThe Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.
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spelling cern-19729432021-04-21T20:42:23Zhttp://cds.cern.ch/record/1972943engAffelt, AmyThe accidental data scientist: big data applications and opportunities for librarians and information professionalsInformation Transfer and ManagementHarvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents, thus "Big Data" is not a new concept for them though it is spawning new approaches along with a language all its own. InThe Accidental Data Scientist, Amy Affelt shows information professionals how to leverage their skills and training to master emerging tools, techniques, and vocabulary; create mission-critical Big Data research deliverables; and discover rewarding new career opportunities by embracing their inner Data Scientist.Information Todayoai:cds.cern.ch:19729432015
spellingShingle Information Transfer and Management
Affelt, Amy
The accidental data scientist: big data applications and opportunities for librarians and information professionals
title The accidental data scientist: big data applications and opportunities for librarians and information professionals
title_full The accidental data scientist: big data applications and opportunities for librarians and information professionals
title_fullStr The accidental data scientist: big data applications and opportunities for librarians and information professionals
title_full_unstemmed The accidental data scientist: big data applications and opportunities for librarians and information professionals
title_short The accidental data scientist: big data applications and opportunities for librarians and information professionals
title_sort accidental data scientist: big data applications and opportunities for librarians and information professionals
topic Information Transfer and Management
url http://cds.cern.ch/record/1972943
work_keys_str_mv AT affeltamy theaccidentaldatascientistbigdataapplicationsandopportunitiesforlibrariansandinformationprofessionals
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