Big data science & analytics : a hands-on approach / Arshdeep Bahga, Vijay Madisetti.
Tipo de material:
TextoEditor: [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.
- sin medio.
- volumen.
- 9780996025546
- 0996025545
- Big data science and analytics
- 005.7 23
- QA 76.9 .B53 B34 2016
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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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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| QA 76.9 B14 Guide to computational geometry processing : foundations, algorithms, and methods / | QA76 .9 .B45 D229 2018 Practical Big Data Analytics : Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R / | QA 76 .9 .B45 P295 2020 Getting structured data from the internet : running web crawlers/scrapers on a big data production scale / | QA 76 .9 .B53 B34 2016 Big data science & analytics : a hands-on approach / | QA76.9.C55 D36 Microsoft SQL server 2000: La Biblia de / | QA76.9.C55 D36 Microsoft SQL server 2000: La Biblia de / | QA76.9.C55 D36 Microsoft SQL server 2000: La Biblia de / |
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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