Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/66785Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Correia, José | por |
| dc.contributor.author | Costa, Carlos A. P. | por |
| dc.contributor.author | Santos, Maribel Yasmina | por |
| dc.date.accessioned | 2020-09-04T15:14:56Z | - |
| dc.date.available | 2020-09-04T15:14:56Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.isbn | 9783030204846 | - |
| dc.identifier.issn | 1865-1348 | - |
| dc.identifier.uri | https://hdl.handle.net/1822/66785 | - |
| dc.description.abstract | 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 alternative to some of the well-known SQL-on-Hadoop technologies and its potential in this role. In this evaluation, Druid, Hive and Presto are benchmarked with increasing data volumes. The results point Druid as a strong alternative, achieving better performance than Hive and Presto, and show the potential of integrating Hive and Druid, enhancing the potentialities of both tools. | por |
| dc.description.sponsorship | This work is supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within Project UID/CEC/00319/2013 and by European Structural and Investment Funds in the FEDER component, COMPETE 2020 (Funding Reference: POCI-01-0247-FEDER-002814). | por |
| dc.language.iso | eng | por |
| dc.publisher | Springer Verlag | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
| dc.rights | openAccess | por |
| dc.subject | Big Data | por |
| dc.subject | Big Data Warehouse | por |
| dc.subject | SQL-on-Hadoop | por |
| dc.subject | Druid | por |
| dc.subject | OLAP | por |
| dc.title | Challenging SQL-on-Hadoop performance with Apache Druid | por |
| dc.type | conferencePaper | por |
| dc.peerreviewed | yes | por |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-20485-3_12 | por |
| oaire.citationStartPage | 149 | por |
| oaire.citationEndPage | 161 | por |
| oaire.citationVolume | 353 | por |
| dc.date.updated | 2020-09-04T15:05:47Z | - |
| dc.identifier.doi | 10.1007/978-3-030-20485-3_12 | por |
| dc.subject.wos | Science & Technology | - |
| sdum.export.identifier | 6159 | - |
| sdum.journal | Lecture Notes in Business Information Processing | por |
| sdum.conferencePublication | BUSINESS INFORMATION SYSTEMS, PT I | por |
| sdum.bookTitle | BUSINESS INFORMATION SYSTEMS, PT I | por |
| oaire.version | AM | por |
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Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| BIS_2019_paper_137.pdf | 642,43 kB | Adobe PDF | Ver/Abrir |
