An overview of data warehousing and OLAP technology
ACM SIGMOD Record
The pyramid-technique: towards breaking the curse of dimensionality
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
CubiST: a new algorithm for improving the performance of ad-hoc OLAP queries
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Online Dynamic Reordering for Interactive Data Processing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
CubiST++: Evaluating Ad-Hoc CUBE Queries Using Statistics Trees
Distributed and Parallel Databases
Optimization in Data Cube System Design
Journal of Intelligent Information Systems
Processing star queries on hierarchically-clustered fact tables
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Star join revisited: Performance internals for cluster architectures
Data & Knowledge Engineering
Exploiting pipeline interruptions for efficient memory allocation
Proceedings of the 17th ACM conference on Information and knowledge management
Provenance in Databases: Why, How, and Where
Foundations and Trends in Databases
Historical data storage for large scale sensor networks
Proceedings of the 5th French-Speaking Conference on Mobility and Ubiquity Computing
Modelling and querying geographical data warehouses
Information Systems
Improving quality and convergence of genetic query optimizers
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Exploring graphics processing units as parallel coprocessors for online aggregation
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Real-time computation of advanced rules in OLAP databases
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
A parallel and distributed method for computing high dimensional MOLAP
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Ad hoc star join query processing in cluster architectures
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
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On-Line Analytical Processing (OLAP) and Data Warehousing are decision support technologies. Their goal is to enable enterprises to gain competitive advantage by exploiting the ever-growing amount of data that is collected and stored in corporate databases and files for better and faster decision making. Over the past few years, these technologies have experienced explosive growth, both in the number of products and services offered, and in the extent of coverage in the trade press. Vendors, including all database companies, are paying increasing attention to all aspects of decision support.