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DAWAK
2009
Springer
13 years 5 months ago
BitCube: A Bottom-Up Cubing Engineering
Enhancing on line analytical processing through efficient cube computation plays a key role in Data Warehouse management. Hashing, grouping and mining techniques are commonly used ...
Alfredo Ferro, Rosalba Giugno, Piera Laura Puglisi...
EDBT
2009
ACM
218views Database» more  EDBT 2009»
14 years 2 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...
EDBTW
2010
Springer
13 years 11 months ago
Text-to-query: dynamically building structured analytics to illustrate textual content
Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It...
Raphaël Thollot, Falk Brauer, Wojciech M. Bar...
IADIS
2009
13 years 5 months ago
A strategy for cost efficient distributed data storage for in-memory OLAP
With the availability of inexpensive blade servers featuring 32 GB or more of main memory, memory-based engines such as the SAP NetWeaver Business Warehouse Accelerator are coming...
Olga Mordvinova, Oleksandr Shepil, Thomas Ludwig 0...
DOLAP
2010
ACM
13 years 5 months ago
Relational versus non-relational database systems for data warehousing
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...