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Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop /
"In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency. Joi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico Congresos, conferencias Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 050 | 4 | |a TK5105.386 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Quraishi Mohammad, |e onscreen presenter. | |
| 245 | 1 | 0 | |a Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop / |c Mohammad Quraishi. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2019. | |
| 300 | |a 1 online resource (1 streaming video file (40 min., 17 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from resource description page (Safari, viewed January 31, 2020). | ||
| 511 | 0 | |a Presenter, Mohammad Quraishi. | |
| 520 | |a "In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency. Join Mohammad Quraishi (Cigna) to learn why streaming data architectures are a necessity--Kafka and Hadoop are key. Mohammad outlines architectures centered around the Hadoop Platform and Kafka that were implemented to support a variety of integration and analytics requirements. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 0 | |a Apache Kafka (Electronic resource) |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 650 | 0 | |a Streaming technology (Telecommunications) | |
| 650 | 0 | |a Data flow computing. | |
| 650 | 6 | |a En continu (Télécommunications) | |
| 650 | 6 | |a Flux de données (Informatique) | |
| 650 | 7 | |a Data flow computing. |2 fast |0 (OCoLC)fst00887940 | |
| 650 | 7 | |a Streaming technology (Telecommunications) |2 fast |0 (OCoLC)fst01134637 | |
| 711 | 2 | |a O'Reilly Strata Data Conference |d (2019 : |c San Francisco, Calif.) | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/0636920339878/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||