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Architectural considerations for Hadoop applications : using clickstream analytics as an end-to-end example /

"Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaini...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2015.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Grover, Mark,  |e on-screen presenter. 
245 1 0 |a Architectural considerations for Hadoop applications :  |b using clickstream analytics as an end-to-end example /  |c with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira. 
246 3 0 |a Using clickstream analytics as an end-to-end example 
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520 |a "Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaining a deep understanding of Hadoop andthese related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement completesolutions. In this video we'll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop."--Resource description page. 
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700 1 |a Malaska, Ted,  |e on-screen presenter. 
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