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The first class aims to describe, among other things, the several heterogeneous data sources, the data transformation that must be performed to feed the data warehouse, and the refresh status of the stored data. The concept of metadata-born in the transactional systems literature-has gained the greatest attention in data warehousing environments, where two classes of metadata are distinguishable: back-room and front-room metadata. These metadata have been successfully adopted in ADAP, a web-based approximate query answering system that creates and uses statistical data profiles. In this paper, we propose an extension of the standard metamodel, in order to define the metadata to be used in online approximate analytical processing. Currently, the standard meta-model does not allow to represent the metadata needed by approximate query answering systems.
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#Definition of query processing in dbms software#
However, business intelligence systems include also approximate query answering systems, since these software tools provide fast responses for decision making on the basis of approximate query processing. The standard language for the data warehouse metadata representation is the Common Warehouse Metamodel. In business intelligence systems, data warehouse metadata management and representation are getting more and more attention by vendors and designers.