The relational model for database management: version 2
The relational model for database management: version 2
Compressed data cubes for OLAP aggregate query approximation on continuous dimensions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Aqua: A Fast Decision Support Systems Using Approximate Query Answers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
The Use of the Binary-Relational Model in Industry: A Practical Approach
BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
| Hi-index | 0.00 |
In the last few years the amount of data stored on computer systems is growing at an accelerated rate. These data are frequently managed within data warehouses. However, the current data warehouse architectures based on n-ary-Relational DBMSs are overcoming their limits in order to efficiently manage such large amounts of data. Some DBMS are able to load huge amounts of data nevertheless; the response times become unacceptable for business users during information retrieval. In this paper we describe an alternative data warehouse reference architectural configuration (ADW) which addresses many issues that organisations are facing. The ADW approach considers a Binary-Relational DBMS as an underlying data repository. Therefore, a number of improvements have been achieved, such as data density increment, reduction of data sparsity, query response times dramatically decreased, and significant workload reduction with data loading, backup and restore tasks.