Performing advanced analytics on relational data with Spark SQL /

"In this event, we'll examine Spark SQL, a new Alpha component that is part of the Apache Spark 1.0 release. Spark SQL lets developers natively query data stored in both existing RDDs and external sources such as Apache Hive. A key feature of Spark SQL is the ability to blur the lines betw...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Armbrust, Michael
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2014.
Temas:
SQL (Computer program language)
Web usage mining.
Database management.
Databases > Design.
SQL (Langage de programmation)
Analyse du comportement des internautes.
Bases de données > Gestion.
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"In this event, we'll examine Spark SQL, a new Alpha component that is part of the Apache Spark 1.0 release. Spark SQL lets developers natively query data stored in both existing RDDs and external sources such as Apache Hive. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query external data with complex analytics. In addition to Spark SQL, we'll explore the Catalyst optimizer framework, which allows Spark SQL to automatically rewrite query plans to execute more efficiently."--Resource description page.
Notas:Title from title screen (viewed Aug. 4, 2014).
Descripción Física:1 online resource (1 streaming video file (41 min., 22 sec.))

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