This paper presentsa version model which handlesdatabaseschemachangesandwhich takesevolution into account. Its originality is in allowing the development of partial schema version...
In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
Database evolution is the process of updating the schema of a database or data warehouse (schema evolution) and evolving the data to the updated schema (data evolution). Database ...
Ziyang Liu, Sivaramakrishnan Natarajan, Bin He, Hu...
As a new paradigm for data warehousing demanded by today's decision support community, DW 2.0 recognized the life cycle of data with it, that make metadata evolution mechanis...
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (nu...