OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Efficient integration and aggregation of historical information
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A conceptual solution for representing time in data warehouse dimensions
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Fundamentals of order dependencies
Proceedings of the VLDB Endowment
Expressiveness and complexity of order dependencies
Proceedings of the VLDB Endowment
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Data warehouses are repositories of electronically stored data which are designed to support reporting and analysis. The analysis of historical data often involves aggregation over time. Thus, time is critical in the design of a data warehouse. We describe novel techniques for storing date information and optimization of queries that reference the date dimension. We show how to embed intelligence into the date key and how to exploit monotonic dependencies. We present the value of these techniques for the improvement of performance when combined with partitioning and indexes. We evaluate these techniques on our prototype implemented in IBM® DB2® V9.7 over the current draft version of the TPC-DS benchmark.