Future.Trends
In our opinion, there are several issues that are technologically open and present
interesting topics of research for the future in the field of data integration in data
warehouse environments. This opinion is supported by the results of a recent workshop
located in Dagstuhl, Germany in the Summer of 2004 (Dagstuhl Perspective
Workshop, 2004), where several researchers tried to articulate the most pressing
issues for the next directions of data warehousing research. A research agenda describing
opportunities and challenges for promising new areas in data warehousing
research was proposed that focuses on architecture, processes, modeling and design,
and novel applications. Out of these, the participants discuss the future role of ETL
28 Simitsis, Vassiliadis, Skiadopoulos, & Sellis
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in a threefold categorization: traditional ETL, stream ETL, and on-demand ETL.
We adopt this classification, and for each one of these categories, we present a list
of several future directions.
??? Traditional.ETL: Traditional ETL processes are responsible for the extraction
of data from several sources, their cleansing, customization, and insertion
into a data warehouse. These tasks are repeated on a regular basis, and in most
cases, they are asynchronous.
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