How to Develop Big Data Applications for Hadoop

How to Develop Big Data Applications for Hadoop

Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big data a...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly Strata making data work conference (-)
Otros Autores: Wensel, Chris, author (author), Krugler, Ken, author, M, Shevek, author, Taha, Abe, author
Formato: Video
Idioma:Inglés
Publicado: O'Reilly Media, Inc 2011.
Edición:1st edition
Materias:
Electronic data processing.
Open source software.
Electronic videos.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629115606719
Descripción
Sumario:Distributed applications running on Hadoop clusters can deliver powerful insights and results from the biggest data sets ever generated. But do you have to be a rocket scientist to use it? Fortunately, the answer is no. This tutorial will explain the theory of MapReduce and how to develop big data applications in Java and higher level languages such as Pig and Hive SQL.
Notas:Title from resource description page (viewed Jul. 15, 2011).
Descripción Física:1 online resource (1 video file, approximately 2 hr., 26 min.)

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