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The process of database migration has become an ongoing problem because data has been collected. Inevitably, new systems are designed that are intended to be more efficient, user-friendly, inclusive, and currently than older systems. In some cases, a new system was developed just to replace the older system, and the justification might be new software trends, financial constraints. new management initiatives, user complaints, or other reasons. In some other instances, a new system was developed to replace the older ones that have become too complex or outdated and which hold back modifications and further evolution. This system is known as the "inheritance" system. The level of increase or at least change from one system to another will not slow down in the near future. In fact, the process of data migration from legacy systems will continue to accelerate in the coming years. The objectives of this study are to develop strategies and techniques of good and correct data migration that offer speed and timeliness without causing loss or damage to data, maintaining consistency and integrity of the schema table structure resulting from data migration, especially in mapping data types, to fit with structures in the original database, to minimize unexpected disfunctionality.