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...

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Detalles Bibliográficos
Otros Autores: Kreps, Jay, author (author)
Formato: Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc 2014.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629831606719
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.
Notas:Title from title screen (viewed July 1, 2014).
Title screen and resource description page include the heart symbol in title.
Descripción Física:1 online resource (1 video file, approximately 51 min.)