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PySpark SQL recipes: with HiveQL, Dataframe and Graphframes

Detalles Bibliográficos
Autores principales: Mishra, Raju Kumar, Raman, Sundar Rajan
Lenguaje:eng
Publicado: Apress 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2679039
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author Mishra, Raju Kumar
Raman, Sundar Rajan
author_facet Mishra, Raju Kumar
Raman, Sundar Rajan
author_sort Mishra, Raju Kumar
collection CERN
id cern-2679039
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Apress
record_format invenio
spelling cern-26790392021-04-21T18:23:51Zhttp://cds.cern.ch/record/2679039engMishra, Raju KumarRaman, Sundar RajanPySpark SQL recipes: with HiveQL, Dataframe and GraphframesComputing and ComputersApressoai:cds.cern.ch:26790392019
spellingShingle Computing and Computers
Mishra, Raju Kumar
Raman, Sundar Rajan
PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title_full PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title_fullStr PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title_full_unstemmed PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title_short PySpark SQL recipes: with HiveQL, Dataframe and Graphframes
title_sort pyspark sql recipes: with hiveql, dataframe and graphframes
topic Computing and Computers
url http://cds.cern.ch/record/2679039
work_keys_str_mv AT mishrarajukumar pysparksqlrecipeswithhiveqldataframeandgraphframes
AT ramansundarrajan pysparksqlrecipeswithhiveqldataframeandgraphframes