## Abstract Parallel processing is a key to high performance in very large data warehouse applications that execute complex analytical queries on huge amounts of data. Although parallel database systems (PDBSs) have been studied extensively in the past decades, the specifics of load balancing in pa
β¦ LIBER β¦
Querying Compressed Data in Data Warehouses
β Scribed by Anindya Datta; Helen Thomas
- Book ID
- 110390722
- Publisher
- Springer US
- Year
- 2002
- Tongue
- English
- Weight
- 274 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1385-951X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Dynamic query scheduling in parallel dat
β
Holger MΓ€rtens; Erhard Rahm; Thomas StΓΆhr
π
Article
π
2003
π
John Wiley and Sons
π
English
β 450 KB
Approximate Query Answering Using Data W
β
Jorge R. Bernardino; Pedro S. Furtado; Henrique C. Madeira
π
Article
π
2002
π
Springer US
π
English
β 941 KB
Building a Data Warehouse || Data Wareho
β
,
π
Article
π
2008
π
Apress
β 575 KB
Advanced Data Warehouse Design || Tempor
β
Malinowski, Elzbieta
π
Article
π
2008
π
Springer Berlin Heidelberg
β 850 KB
Designing data warehouses
β
Dimitri Theodoratos; Timos Sellis
π
Article
π
1999
π
Elsevier Science
π
English
β 332 KB
A Data Warehouse (DW) is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without accessing the original information sources. In this paper we deal with the issue of designing a DW, in the context of
Data Warehouse
β
Peter Gluchowski
π
Article
π
1997
π
Springer-Verlag
π
German
β 225 KB