التفاصيل البيبلوغرافية
| العنوان: |
Challenging SQL-on-Hadoop performance with Apache Druid |
| المؤلفون: |
Correia, José, Costa, Carlos A. P., Santos, Maribel Yasmina |
| المساهمون: |
Universidade do Minho |
| بيانات النشر: |
Springer Verlag, 2019. |
| سنة النشر: |
2019 |
| مصطلحات موضوعية: |
Big Data, Big Data Warehouse, SQL-on-Hadoop, Druid, OLAP, Science & Technology |
| الوصف: |
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. |
| Description (Translated): |
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). |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
9783030204846; 1865-1348 |
| DOI: |
10.1007/978-3-030-20485-3_12 |
| الاتاحة: |
http://hdl.handle.net/1822/66785 |
| Rights: |
open access |
| رقم الانضمام: |
rcaap.com.repositorium.repositorium.sdum.uminho.pt.1822.66785 |
| قاعدة البيانات: |
RCAAP |