Data migration
Successful data migration
If a former system is to be replaced by a new software solution, the entire data must be moved. In most cases, the data must not simply be copied from A to B, but must be transferred from the old to the new data model. This is an undertaking that should not be underestimated. However, with the right approach, such a data migration can be mastered successfully, with only short downtime and without any data loss.
Successful data migration requires that all affected departments be involved as early as possible. This is because, in addition to knowing how the data migration can be carried out in the best possible way from a technical point of view, it is also necessary to understand the working methods of the individual departments affected. Only in this way can a well-founded requirement analysis be carried out that takes all risks into account.
We at codeCrafters PY are specialists in data migration. Thanks to many years of experience, we prepare your data migration professionally and carry it out in equal measure.
Your advantages:
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Clean data
We clean and correct data inconsistencies of existing data during migration and deliver an error-free data set to your target system.
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Short downtime
We perform data migrations in such a way that the productive operation of the existing system is affected as minimally as possible.
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Low post-processing effort
Through automated and repeated test migrations, we uncover any open data inconsistencies and errors, thus minimizing possible post-processing efforts.
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Monitoring and reporting
In order to be able to make statements about the status and success during and after the migration, we rely on monitoring and automated reporting.
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Securing the data
To ensure the usability of the data in the new target environment, we carry out appropriate smoke tests and other tests after the migration.
Steps of a data migration
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Analysis: Matching the source and target data models to define the mapping. Data that is no longer relevant and data inconsistencies are also identified.
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Implementation: Setting up an automated migration solution including monitoring and automatic reporting.
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Migration: Migration of data from the former system to the target data system. This involves converting, cleansing and completing the data before it is written to the target data system.
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Evaluation: After the successful migration of the data into the target system, the migration and performance report is evaluated. This reveals possible errors and rework requirements. The number of cases uncovered here is minimized by repeated test migrations with data that is as close to production as possible.
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Aftercare: This is where any rework and error corrections that are uncovered are carried out. The aim is to ensure the quality of the data in the target system.