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2010
At a certain point of its life cycle, each data warehouse gets into a state in which the length of the ETL processing starts slowly approaching the acceptable limit. Even the slightest lapse means a hardly erasable time lag and the data supplies to users are increasingly delayed. Before the situation becomes more problematic, we need to react.
openaire +1 more source
At a certain point of its life cycle, each data warehouse gets into a state in which the length of the ETL processing starts slowly approaching the acceptable limit. Even the slightest lapse means a hardly erasable time lag and the data supplies to users are increasingly delayed. Before the situation becomes more problematic, we need to react.
openaire +1 more source
Representation of conceptual ETL designs in natural language using Semantic Web technology
Data and Knowledge Engineering, 2010Dimitrios Skoutas
exaly
State-space optimization of ETL workflows
IEEE Transactions on Knowledge and Data Engineering, 2005exaly