Data migration

From Computer Science Wiki
System Fundamentals[1]

When we move data from one system to another we transfer it. However, when you aim to permanently move data (most commonly when you are building a new system), we can say you are migrating data. Please know this is almost always a deliberate process.

There are several problems that may arise as part of data migration:

  1. Data Loss: There is a risk of data loss during the migration process. This can occur due to various reasons such as network issues, hardware failures, or data corruption.
  2. Data Incompatibility: The source and destination systems may use different data formats or structures, leading to data incompatibility issues.
  3. Data Integrity: Data integrity problems can arise if the migrated data is not consistent with the original data. For example, if there are foreign key constraints in the destination system, the migrated data must satisfy these constraints.
  4. Performance Issues: The migrated data may not be optimized for the destination system, leading to performance issues.
  5. Security Risks: There is a risk of unauthorized access to the data during the migration process.
  6. Dependencies: There may be dependencies between different data elements that are not taken into account during the migration process, leading to issues.
  7. Complexity: Migrating large volumes of data can be a complex process, requiring specialized tools and resources.

Overall, it is important to plan and test the data migration process carefully to minimize the risks and ensure a smooth transition.


  • Discuss problems that may arise as a part of data migration.