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» Reverse Engineering of Relational Database Applications
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SSDBM
1998
IEEE
141views Database» more  SSDBM 1998»
13 years 11 months ago
Modeling Multidimensional Databases, Cubes and Cube Operations
On-Line Analytical Processing (OLAP) is a trend in database technology, which was recently introduced and has attracted the interest of a lot of research work. OLAP is based on th...
Panos Vassiliadis
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 7 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
ICDE
2003
IEEE
101views Database» more  ICDE 2003»
14 years 9 months ago
XomatiQ: Living With Genomes, Proteomes, Relations and a Little Bit of XML
In this paper, we describe a system called XomatiQ to address the problem of integration, querying and correlation of biological data. XomatiQ is an integral part of the genomics ...
Sourav S. Bhowmick, Pedro Cruz, Amey V. Laud
ICSE
2005
IEEE-ACM
14 years 7 months ago
Binary refactoring: improving code behind the scenes
We present Binary Refactoring: a software engineering technique for improving the implementation of programs without modifying their source code. While related to regular refactor...
Eli Tilevich, Yannis Smaragdakis
CLUSTER
2009
IEEE
14 years 2 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...