Enabling insights and analytics with data streaming architectures and pipelines using Kafka and Hadoop

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...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly Strata Data Conference (-)
Otros Autores: Quraishi Mohammad, onscreen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media 2019.
Materias:
Apache Hadoop.
Apache Kafka (Electronic resource)
Streaming technology (Telecommunications)
Data flow computing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822783706719
Descripción
Sumario:"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.
Notas:Title from resource description page (Safari, viewed January 31, 2020).
Descripción Física:1 online resource (1 streaming video file (40 min., 17 sec.)) : digital, sound, color

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