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Big data science & analytics : a hands-on approach / Arshdeep Bahga, Vijay Madisetti.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: [Johns Creek, GA?] : Fabricante: Arshdeep Bahga & Vijay Madisetti, Fecha de copyright: [2016]Edición: [primera edición]Descripción: 542 paginas : ilustraciones, graficas, tablas ; 26 X 19 cmTipo de contenido:
  • texto.
Tipo de medio:
  • sin medio.
Tipo de soporte:
  • volumen.
ISBN:
  • 9780996025546
  • 0996025545
Otro título:
  • Big data science and analytics
Tema(s): Clasificación CDD:
  • 005.7 23
Clasificación LoC:
  • QA 76.9 .B53 B34 2016
Recursos en línea: Resumen: "Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity. Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate."--p. web editorial
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Existencias
Tipo de ítem Biblioteca actual Biblioteca de origen Colección Signatura topográfica Copia número Estado Notas Fecha de vencimiento Código de barras Reserva de ítems
Libros para consulta en sala Libros para consulta en sala Biblioteca Antonio Enriquez Savignac Biblioteca Antonio Enriquez Savignac COLECCIÓN RESERVA QA 76 .9 .B53 B34 2016 (Navegar estantería(Abre debajo)) Ejem. 1 No para préstamo (Préstamo interno) Ingeniería en Datos e Inteligencia Organizacional 042789
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Incluye: referencias bibliográficas e índice (paginas [535]-538)

"Data and information are fuel of this new age where powerful analytics algorithms burn this fuel to generate decisions that are expected to create a smarter and more efficient world for all of us to live in. This new area of technology has been defined as Big Data Science and Analytics, and the industrial and academic communities are realizing this as a competitive technology that can generate significant new wealth and opportunity.
Big data is defined as collections of datasets whose volume, velocity or variety is so large that it is difficult to store, manage, process and analyze the data using traditional databases and data processing tools. Big data science and analytics deals with collection, storage, processing and analysis of massive-scale data. Industry surveys, by Gartner and e-Skills, for instance, predict that there will be over 2 million job openings for engineers and scientists trained in the area of data science and analytics alone, and that the job market is in this area is growing at a 150 percent year-over-year growth rate."--p. web editorial

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