Using AutoMed metadata in data warehousing environments
Hao Fan, Alexandra Poulovassilis
Abstract
Hao Fan, Alexandra Poulovassilis
Abstract
What kind of metadata can be used for expressing the multiplicity of data models and the data transformation and integration processes in data warehousing environments? How can this metadata be further used for supporting other data warehouse activities? We examine how these questions are addressed by AutoMed, a system for expressing data transformation and integration processes in heterogeneous database environments.
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What kind of metadata can be used for expressing the multiplicity of data models and the data transformation and integration processes in data warehousing environments? How can this metadata be further used for supporting other data warehouse activities? We examine how these questions are addressed by AutoMed, a system for expressing data transformation and integration processes in heterogeneous database environments.
Key concepts: Metadata, Data warehouse, Computer science, Data transformation, Meta Data Services, Data element, Metadata repository, Data integration