Programming Hive

"Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop's data warehouse infrastructure. You'll quickly learn how to use Hive's SQL dialect- Hive QL- to summarize, query, and analyze large datasets stored in Hadoop...

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Detalles Bibliográficos
Autor principal: Capriolo, Edward (-)
Otros Autores: Wampler, Dean, Rutherglen, Jason, Loukides, Michael Kosta, Nash, Courtney, Demarest, Rebecca
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly & Associates 2012.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628593006719
Descripción
Sumario:"Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop's data warehouse infrastructure. You'll quickly learn how to use Hive's SQL dialect- Hive QL- to summarize, query, and analyze large datasets stored in Hadoop's distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You'll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabyes of data."--P. [4] of cover.
Notas:"Data warehouse and query language for Hadoop"--Cover.
Descripción Física:1 online resource (350 p.)
Bibliografía:Includes bibliographical references (pages 309-311) and index.
ISBN:9781449326975
9781449326982