Towards Lambda-Based Near Real-Time OLAP over Big Data

被引：0
|
作者：
Cuzzocrea, Alfredo [1 ,2 ]
Moussa, Rim [3 ]
机构：
[1] Univ Trieste, Trieste, Italy
[2] CNR, ICAR, Trieste, Italy
[3] Univ Tunis, LaTICE Lab, Tunis, Tunisia
来源：
2018 IEEE 42ND ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1 | 2018年
关键词：
SELECTION;
D O I：
10.1109/COMPSAC.2018.00067
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, inspired by the well-known Lambda architecture, we introduce a novel approach for effectively and efficiently supporting data warehouse maintenance processes in the context of near real-time OLAP scenarios, making use of so-called big summary data, and we provide an empirical study that stresses the complexity of such OLAP scenarios via using the popular TPC-H benchmark.
引用
收藏
页码：438 / 441
页数：4
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