Abstract
In MOLAP systems, multidimensional arrays are employed to store fact tables dumped from the frontend relational database. On these fact tables, various kinds of statistical computations such as aggregate operations can be performed efficiently by utilizing the fast random accessing capability of arrays. This capability depends on that the size of an employed multidimensional array is fixed in every dimension, so a simple addressing function can be used to access array elements. But, if a new column value emerges after constructing the fact table, the existing fixed size multidimensional array cannot involve the value. In this paper, we provide an extendible multidimensional array system for MOLAP. Such an array can extend its size dynamically along an arbitrary dimension without any relocation of existing data. This property enables incremental aggregate operations without relocating any data dumped at the latest time. Some problems in making this system work as a basis for MOLAP are stated, and their countermeasures are proposed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
