Learning path : understanding tool integration for big data architecture

Learning path understanding tool integration for big data architecture

"Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end us...

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Detalles Bibliográficos
Otros Autores: Grover, Mark, speaker (speaker), Morrow, Rich, speaker, Yahalom, David, speaker, Totman, Steven, speaker, Heywood, Sam, speaker, Curcuru, Nick, speaker, Agonus, Jaipaul, speaker
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media [2016]
Materias:
Apache Hadoop.
Spark (Electronic resource : Apache Software Foundation)
Big data.
Electronic data processing > Distributed processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676317806719
Tabla de Contenidos:
  • Architectural considerations for Hadoop applications / Mark Grover [and three others]
  • Using Spark in the Hadoop ecosystem / Rich Morrow
  • Mastering Apache Sqoop / David Yahalom
  • Big data governance / Steven Totman [and three others]
  • Preventing a big data security breach / Sam Heywood, Nick Curcuru, Ritu Kama
  • Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloud , a real world case study / Jaipaul Agonus.

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