Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data...

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Detalles Bibliográficos
Autor principal: Vermeulen, Andreas François. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Data mining.
Big data.
Data structures (Computer science).
Data Mining and Knowledge Discovery.
Big Data/Analytics.
Big Data.
Data Storage Representation.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630754406719
Tabla de Contenidos:
  • Chapter 1: Data Science Technology Stack
  • Chapter 2: Vermeulen - Krennwallner - Hillman - Clark
  • Chapter 3: Layered Framework
  • Chapter 4: Business Layer
  • Chapter 5: Utility Layer
  • Chapter 6: Three Management Layers
  • Chapter 7: Retrieve Super Step
  • Chapter 8: Assess Super Step
  • Chapter 9: Process Super Step
  • Chapter 10: Transform Super Step
  • Chapter 11: Organize and Report Super Step
  • .

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