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The ORM infusion data migration method

Sluis, T. (2011) The ORM infusion data migration method. Master's Thesis / Essay, Industrial Engineering and Management.

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Abstract

Almost every ICT system will eventually reach the point of replacement in the information system life cycle. These systems are often not able to change alongside the business requirements and are therefore called legacy information systems. This is caused by old programming languages, lack of documentation and obsolete programming styles. Legacy systems can be found in almost every organization. These systems often have important economical value and many of them are of crucial importance to their owners. Another characteristic of legacy systems is that they are critical to the business, since valuable business logic and data is stored in these systems. Eventually it will become attractive to migrate legacy systems to newer, more flexible platforms. This research is started from the question of TNO to gain more practical knowledge about legacy system migration. Current methods and guidelines available for migration in literature are very theoretical. Since the field of legacy migration is enormous, focus in this research is on database migration. Database migration is lower valued compared to code migration. Since data can be seen the most important asset of an information system data migration is becoming more popular. The research described in this thesis results in practical guidelines encapsulated in a method to perform database migration. The method discusses issues as data modeling, source and target schema mapping and data transfer between the legacy and the target system. With the use of existing techniques such as Object Role Modeling (ORM), database reverse engineering and Materialized Views a new DBMS-only method is set up. ORM is an upcoming conceptual data modeling language, already proven to be effective in database integration and federation, but not earlier used in database migration.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Industrial Engineering and Management
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:46
Last Modified: 15 Feb 2018 07:46
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9813

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