The performance of data migration processes is an important issue when transferring data from existing source information systems to new target systems. Such a process is called ETL (Extraction, Transformation and Loading). Addressing this issue is one of the main tasks and challenges of database administrator (DBA). This activity is important because it must be accomplished as rapidly as possible to make the target system available to other systems on time. Under such a pressure, a DBA has to collaborate with several experts working on the different parts in the migration environment to solve the problem at hand. Exchange of information and knowledge between the DBA and project members becomes effective if there is a common interpretative focus and a shared context where all actors can understand each other and exchange their experiences. In this paper, we present how context sharing can help in individual decision making when dealing with ETL-processes failures, thanks to a platform called Contextual Graphs (CxGs-Platform) that allows a uniform representation of knowledge, reasoning and contexts. Our work provides a basis for the development of an experience base that will be used by a decision support system for DBA experts.
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