An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Improved query performance with variant indexes
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Making aggregate views self-maintainable
Data & Knowledge Engineering
A Framework for Class Partitioning in Object-Oriented Databases
Distributed and Parallel Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Algorithms for Materialized View Design in Data Warehousing Environment
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Vertical class partitioning and complex object retrieval in object oriented databases
Vertical class partitioning and complex object retrieval in object oriented databases
Hi-index | 0.00 |
In an Object Relational Data Warehousing (ORDW) environmemt, the semantics of data and queries can be explicitly captured, represented, and utilized based on is-a and class composition hierarchies, thereby resulting in more efficient OLAP query processing. In this chapter, we show the efficacy in building semantic-rich hybrid data indexes incorporating Structural Join Index Hierarchy (SJIH) on the ORDW views. Given a set of queries, we use a hill-climbing heuristic algorithm to select (near) optimal SJIHs, thereby embedding query semantics into the indexing framework. Finally, by a cost model, we analyze the effectiveness of our approach vis-a-vis the pointer chasing approach.