MAD skills /

"A discussion of Big Data approaches to analysis problems in marketing, forecasting, academia and enterprise computing. We focus on practices to enhance collaboration and employ rich statistical methods: a Magnetic, Agile and Deep (MAD) approach to analytics. While the approach is language-agno...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hellerstein, Joe
Autor Corporativo: O'Reilly Strata Work Data Conference
Otros Autores: Dolan, Brian
Formato: Electrónico Congresos, conferencias Video
Idioma:Inglés
Publicado: [United States?] : O'Reilly Media, 2011.
Temas:
Data mining.
Querying (Computer science)
Data Mining
Exploration de données (Informatique)
Bases de données > Interrogation.
online searching.
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"A discussion of Big Data approaches to analysis problems in marketing, forecasting, academia and enterprise computing. We focus on practices to enhance collaboration and employ rich statistical methods: a Magnetic, Agile and Deep (MAD) approach to analytics. While the approach is language-agnostic, we show that sophisticated statistics can be easily scaled in traditional environments like SQL."--Resource description page.
Descripción Física:1 online resource (1 streaming video file (43 min., 31 sec.))

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