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I ❤ Logs : Apache Kafka and Real-time Data Integration /

This webcast talk will discuss how logs and stream-processing can form a backbone for data flow, ETL, and real-time data processing. It will describe the challenges and lessons learned as LinkedIn built out its real-time data subscription and processing infrastructure. It will also discuss the role...

Descripción completa

Detalles Bibliográficos
Autor principal: Kreps, Jay (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, Incorporated, 2014.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:This webcast talk will discuss how logs and stream-processing can form a backbone for data flow, ETL, and real-time data processing. It will describe the challenges and lessons learned as LinkedIn built out its real-time data subscription and processing infrastructure. It will also discuss the role of real-time processing and its relationship to offline processing frameworks such as MapReduce.
Descripción Física:1 online resource (1 video file, approximately 51 min.)
ISBN:9781491908310
1491908319