Challenging SQL-on-Hadoop performance with Apache Druid

In Big Data, SQL-on-Hadoop tools usually provide satisfactory performance for processing vast amounts of data, although new emerging tools may be an alternative. This paper evaluates if Apache Druid, an innovative column-oriented data store suited for online analytical processing workloads, is an al...

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Detalhes bibliográficos
Autor principal: Correia, José (author)
Outros Autores: Costa, Carlos A. P. (author), Santos, Maribel Yasmina (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Big Data
Big Data Warehouse
SQL-on-Hadoop
Druid
OLAP
Science & Technology
Texto completo:http://hdl.handle.net/1822/66785
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/66785

Texto Completo

http://hdl.handle.net/1822/66785

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