Data within an organization is highly structured and organized into specified applications or systems. These systems have a different function within an organization, so each user will have a different level to access each system. So by the data mapping approach user can easily isolate those data and prepare the declarations for the available data element. Generic Modular Mapping Framework (GEMMA) a new common generic framework for data mapping was developed by Airbus Group Innovation GmbH to avoid numerous potential issues in matching data from one source to another. It is geared towards the high flexibility in dealing with a large number of different challenges in handling huge data. It has an open architecture that allows the inclusion of the application-specific code and provides a generic rule-based mapping engine that allows the users to define their own mapping rules. But GEMMA tool is presently used to read and process the data on the fly in memory, as each time the tool is used for mapping data from different sources. This has an impact on large memory consumption when handling large data and is inefficient in storing and retrieving the session data which are the user decisions. This paper provides a detailed description of the GEMMA tool, with the new concept for specific requirements inherited in the framework and in the current architecture to achieve the goals.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:20631 |
| Date | 11 January 2017 |
| Creators | Gowda, Indhu Mathi |
| Contributors | Hardt, Wolfram, Helle, Philipp, Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:masterThesis, info:eu-repo/semantics/masterThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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