Big data analytics : disruptive technologies for changing the game /
Bringing a practitioner's view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this em...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Lenguaje: | Inglés |
| Publicado: |
Chicago :
MC Press,
2012.
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| Materias: | |
| Acceso en línea: | Solo para usuarios autorizados, varios accesos simultáneos |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 005 | 20210528112156.0 | ||
| 007 | cr#cn||||||||| | ||
| 008 | 130529s2012 ilu b 000 0 eng d | ||
| 020 | |a 9781583473801 | ||
| 020 | |a 1583473807 | ||
| 020 | |a 1583477241 (ebook) | ||
| 020 | |a 9781583477243 (ebook) | ||
| 035 | |a (OCoLC)000060898 | ||
| 035 | |a (udesa)000060898USA01 | ||
| 035 | |a (OCoLC)844959456 | ||
| 035 | |a (OCoLC)990000608980204151 | ||
| 040 | |a U@S |b spa |c U@S | ||
| 049 | |a U@SA | ||
| 050 | 4 | |a QA76.9.D343 |b S37 2012 | |
| 100 | 1 | |a Sathi, Arvind. | |
| 245 | 1 | 0 | |a Big data analytics : |b disruptive technologies for changing the game / |c Arvind Sathi. |
| 260 | |a Chicago : |b MC Press, |c 2012. | ||
| 300 | |a [xvi], 73, [4] p. : |b il. ; |c 23 cm. | ||
| 530 | |a Disponible también en formato electrónico. | ||
| 504 | |a Incluye referencias bibliográficas (p. [75-76]) | ||
| 505 | 0 | |a Foreword / Bob Keseley -- Foreword / Jeff Jonas --1. Introduction -- 2. Drivers for Big Data? -- 3. Big Data Analytics Applications -- 4. Architecture Components -- 5. Advanced Analytics Platform -- 6. Implementation of Big Data Analytics -- 7. Closing Thoughts. | |
| 520 | |a Bringing a practitioner's view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the mate. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Business intelligence. | |
| 650 | 7 | |a Minería de datos. |2 UDESA | |
| 650 | 7 | |a Inteligencia empresarial. |2 UDESA | |
| 856 | 4 | 1 | |z Solo para usuarios autorizados, varios accesos simultáneos |u https://ebookcentral.proquest.com/lib/sanandres/detail.action?docID=1052240 |