Multi-table joins through bitmapped join indices
ACM SIGMOD Record
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The DB2 cluster certification guide
The DB2 cluster certification guide
Materialized views: techniques, implementations, and applications
Materialized views: techniques, implementations, and applications
XPS a database server for data warehousing
Proceedings of the 4th ACM international workshop on Data warehousing and OLAP
Microsoft SQL 7.0 Server Resource Guide
Microsoft SQL 7.0 Server Resource Guide
The DB2 Universal Database V7.1 for UNIX, Linux, Windows, and OS/2 with CD-ROM
The DB2 Universal Database V7.1 for UNIX, Linux, Windows, and OS/2 with CD-ROM
GhostDB: querying visible and hidden data without leaks
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
GhostDB: hiding data from prying eyes
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Column-stores vs. row-stores: how different are they really?
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Algorithms for distributional and adversarial pipelined filter ordering problems
ACM Transactions on Algorithms (TALG)
Distributed and Parallel Databases
Sort-sharing-aware query processing
The VLDB Journal — The International Journal on Very Large Data Bases
MILo-DB: a personal, secure and portable database machine
Distributed and Parallel Databases
| Hi-index | 0.00 |
A star schema is very popular for modeling data warehouses and data marts. Therefore, it is important that a database system which is used for implementing such a data warehouse or data mart is able to efficiently handle operations on such a schema. In this paper we will describe how one of these operations, the join operation --- probably the most important operation --- is implemented in the IBM Informix Extended Parallel Server (XPS).