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Real-time big data analytics : emerging architecture /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, Calif. :
O'Reilly Media,
©2013.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Barlow, Mike. | |
| 245 | 1 | 0 | |a Real-time big data analytics : |b emerging architecture / |c Mike Barlow. |
| 260 | |a Sebastopol, Calif. : |b O'Reilly Media, |c ©2013. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed Aug. 26, 2013). | |
| 505 | 0 | |a How fast is fast? -- How real is real time? -- The RTBDA stack -- The five phases of real time -- How big is big? -- Part of a larger trend. | |
| 520 | 8 | |a Annotation |b Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Web usage mining. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Analyse du comportement des internautes. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 1 | 7 | |a Big data. |2 bisacsh |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Web usage mining |2 fast | |
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