Outdating Outdated Objects

In many application scenarios the database is changing quite rapidly. Because the management of such data is rather expensive and cumbersome, many applications like data warehouses only store some aggregations of it. We describe a strategy how the evolution of object databases can be controlled by enhanced versioning. Therefore, we extend the notions of ODMG in order to capture temporal versions. We analyze the consequences for the consistency notions and the semantics of queries. Moreover, we sketch a framework how these concepts can be implemented. 1 Introduction In the age of terabyte databases, a lot of information is collected by many applications. Although storing such masses of data is no problem in nowadays database management systems, the processing of interesting queries poses many restrictions. Especially when temporal data is recorded in the database, the following phenomen can be observed: As information gets old: 1. its worth and usefulness shrinks quite rapidly; 2. th..

Outdating Outdated Objects

In many application scenarios the database is changing quite rapidly. Because the management of such data is rather expensive and cumbersome, many applications like data warehouses only store some aggregations of it. We describe a strategy how the evolution of object databases can be controlled by enhanced versioning. Therefore, we extend the notions of ODMG in order to capture temporal versions. We analyze the consequences for the consistency notions and the semantics of queries. Moreover, we sketch a framework how these concepts can be implemented.