Vasiliki Tziovara

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Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently available constituting a multi-million dollar market. Each ETL tool uses its own technique for the design and implementation of an ETL workflow, making the task of assessing ETL tools(More)
In this paper, we deal with the problem of determining the best possible physical implementation of an ETL workflow, given its logical-level description and an appropriate cost model as inputs. We formulate the problem as a state-space problem and provide a suitable solution for this task. We further extend this technique by intentionally introducing sorter(More)
Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. Their practical importance is denoted by the fact that a plethora of ETL tools currently constitutes a multi-million dollars market. However, each one of them follows a different design and modeling technique and internal(More)
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