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
A predictable storage model for scalable parallel DW
Proceedings of the 15th Symposium on International Database Engineering & Applications
TEEPA: a timely-aware elastic parallel architecture
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Overcoming the scalability limitations of parallel star schema data warehouses
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Providing timely results with an elastic parallel DW
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
| Hi-index | 0.00 |
The star schema model has been widely used as the facto DW storage organization on relational database management systems (RDBMS). The physical division in normalized fact tables (with metrics) and denormalized dimension tables allows a trade-off between performance and storage space while, at the same time offering a simple business understanding of the overall model as a set of metrics (facts) and attributes for business analysis (dimensions). However, the underlying premises of such trade-off between performance and storage have changed. Nowadays, storage capacity increased significantly at affordable prices (below 50$/terabyte) with improved transfer rates, and faster random access times particularly with modern SSD disks. In this paper we evaluate if the underlying premises of the star schema model storage organization still upholds. We propose an alternative storage organization (called ONE) that physically stores the whole star schema into a single relation, providing a predictable and scalable alternative to the star schema model. We use the TPC-H benchmark to evaluate ONE and the star schema model, assessing both the required storage size and query execution time.