Taming Size and Cardinality of OLAP Data Cubes over Big Data

被引：0
|
作者：
Cuzzocrea, Alfredo [1 ,2 ]
Moussa, Rim [3 ]
Laabidi, Achref [4 ]
机构：
[1] Univ Trieste, DIA Dept, Trieste, Italy
[2] ICAR CNR, Trieste, Italy
[3] Univ Carthage, LaTICE, ENI Carthage, Carthage, Tunisia
[4] Univ Carthage, ENI Carthage, Carthage, Tunisia
来源：
DATA ANALYTICS | 2017年 / 10365卷
关键词：
Multidimensional databases; Data warehousing; Schema evolution; Logical OLAP Design;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we provide three authoritative application scenarios of TPC-H*d. The latter is a suitable transformation of TPC-H benchmark. The three application scenarios are (i) OLAP cube calculus on top of columnar relational DBMS, (ii) parallel OLAP data cube processing and (iii) virtual OLAP data cube design. We assess the effectiveness and the efficiency of our proposal, using open source systems, namely, Mondrian ROLAP server and its OLAP4j driver, MySQL-row oriented relational database management system and MonetDB - a column-oriented relational database management system.
引用
收藏
页码：113 / 125
页数：13
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