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Disrupting data discovery

Before any analysis can begin, a data scientist needs to discover the right data sources to analyze, understand them, and determine whether they can trust them. Unfortunately, data discovery is very inefficient today. Countless hours are lost trying to find the right data to use. (The most common wa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Grover, Mark (Autor), Feng, Tao (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc., 2019.
Edición:1st edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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