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» Issues in Developing Very Large Data Warehouses
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IPPS
2007
IEEE
14 years 1 months ago
Middleware and Performance Issues for Computational Finance Applications on Blue Gene/L
We discuss real-world case studies involving the implementation of a web services middleware tier for the IBM Blue Gene/L supercomputer to support financial business applications...
Thomas Phan, Ramesh Natarajan, Satoki Mitsumori, H...
SOSP
2009
ACM
14 years 4 months ago
Debugging in the (very) large: ten years of implementation and experience
Windows Error Reporting (WER) is a distributed system that automates the processing of error reports coming from an installed base of a billion machines. WER has collected billion...
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg...
VLDB
2002
ACM
110views Database» more  VLDB 2002»
13 years 7 months ago
Eliminating Fuzzy Duplicates in Data Warehouses
The duplicate elimination problem of detecting multiple tuples, which describe the same real world entity, is an important data cleaning problem. Previous domain independent solut...
Rohit Ananthakrishna, Surajit Chaudhuri, Venkatesh...
SPE
2008
140views more  SPE 2008»
13 years 7 months ago
A relational-XML data warehouse for data aggregation with SQL and XQuery
: Integration of multiple data sources is becoming increasingly important for enterprises that cooperate closely with their partners for e-commerce. OLAP enables analysts and decis...
Joseph Fong, Herbert Shiu, Davy Cheung
ICCS
2004
Springer
14 years 28 days ago
Visualization of Very Large Oceanography Time-Varying Volume Datasets
This paper presents two visualization techniques suitable for huge oceanography time-varying volume datasets on high-performance graphics workstations. We first propose an off-lin...
Sanghun Park, Chandrajit L. Bajaj, Insung Ihm