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» Describing differences between databases
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ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 7 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
248
Voted
ICDE
2009
IEEE
255views Database» more  ICDE 2009»
16 years 4 months ago
Database Management as a Service: Challenges and Opportunities
Data outsourcing or database as a service is a new paradigm for data management in which a third party service provider hosts a database as a service. The service provides data man...
Ahmed Metwally, Amr El Abbadi, Divyakant Agrawal, ...
134
Voted
EDBT
2008
ACM
137views Database» more  EDBT 2008»
16 years 2 months ago
Synthesizing structured text from logical database subsets
In the classical database world, information access has been based on a paradigm that involves structured, schema-aware, queries and tabular answers. In the current environment, h...
Alkis Simitsis, Georgia Koutrika, Yannis Alexandra...
ICDE
2005
IEEE
122views Database» more  ICDE 2005»
16 years 4 months ago
Uncovering Database Access Optimizations in the Middle Tier with TORPEDO
A popular architecture for enterprise applications is one of a stateless object-based server accessing persistent data through Object-Relational mapping software. The reported ben...
Bruce E. Martin
125
Voted
ICDE
2010
IEEE
379views Database» more  ICDE 2010»
16 years 2 months ago
Osprey: Implementing MapReduce-Style Fault Tolerance in a Shared-Nothing Distributed Database
In this paper, we describe a scheme for tolerating and recovering from mid-query faults in a distributed shared nothing database. Rather than aborting and restarting queries, our s...
Christopher Yang, Christine Yen, Ceryen Tan, Samue...