Accurate modeling of the hybrid hash join algorithm
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Implementation techniques for main memory database systems
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Performance Measurements of Compressed Bitmap Indices
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Join algorithm costs revisited
The VLDB Journal — The International Journal on Very Large Data Bases
Time-Stratified Sampling for Approximate Answers to Aggregate Queries
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Denormalization Effects on Performance of RDBMS
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Optimizing the data warehouse design by hierarchical denormalizing
ACS'08 Proceedings of the 8th conference on Applied computer scince
A comparison of approaches to large-scale data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
The Star Schema Benchmark and Augmented Fact Table Indexing
Performance Evaluation and Benchmarking
MOSS-DB: a hardware-aware OLAP database
WAIM'10 Proceedings of the 11th international conference on Web-age information management
ONE: a predictable and scalable DW model
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Large relations in node-partitioned data warehouses
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
TEEPA: a timely-aware elastic parallel architecture
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Cloudy: heterogeneous middleware for in time queries processing
Proceedings of the 17th International Database Engineering & Applications Symposium
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Star schema model, has been widely used as the facto DW storage organization on RDBMS. Business measures are stored in a central fact table along with a set of foreign keys referencing dimension tables. While this storage organization offers a good trade-off between storage size and performance for a single node, it doesn't scale in a predictable manner in shared-nothing parallel architectures. Although fact tables can be linearly partitioned among nodes, the same doesn't apply to dimensions, which unbalances (increases) the dimensions/fact_table size ratio, and consequently introduces limits to the number of parallel nodes. In this paper we propose and evaluate a parallel DW storage model, that overcomes these limitations and deliver optimal speed-up and scale-up capabilities with top efficiency. We use the TPC-H benchmark to evaluate the scalability and efficiency of the proposed model.