Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity

Detalles Bibliográficos
Autor principal: Anderson, Jesse
Lenguaje:eng
Publicado: O'Reilly Media 2019
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2679064
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author Anderson, Jesse
author_facet Anderson, Jesse
author_sort Anderson, Jesse
collection CERN
id cern-2679064
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher O'Reilly Media
record_format invenio
spelling cern-26790642021-04-21T18:23:47Zhttp://cds.cern.ch/record/2679064engAnderson, JesseData engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivityComputing and ComputersO'Reilly Mediaoai:cds.cern.ch:26790642019
spellingShingle Computing and Computers
Anderson, Jesse
Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title_full Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title_fullStr Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title_full_unstemmed Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title_short Data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
title_sort data engineers vs. data scientists: how misconceptions of data roles can hurt teams and compromise productivity
topic Computing and Computers
url http://cds.cern.ch/record/2679064
work_keys_str_mv AT andersonjesse dataengineersvsdatascientistshowmisconceptionsofdatarolescanhurtteamsandcompromiseproductivity

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