Data Migration Syncler-Glossar

Data migration is the process of transferring data from one system, platform, or location to another. This typically happens when you switch from old software to new software or need to synchronize data between different systems. Data migration aims to ensure that your data is moved from one place to another correctly and without losses.

What problems arise during data migration?

Various issues can arise during data migration, including:

  • Data Loss:
    During migration, data can be lost if not all information is transferred correctly.
  • Data Incompatibility:
    Data in your old system may have a different format or structure than in your new system, leading to conflicts. For example, values in dropdown lists may differ between the source and target systems.
  • Data Quality:
    Data can contain errors or inaccuracies that need to be addressed during migration.
  • Time Consumption:
    Data migration can be time-consuming, especially with large datasets.

What should be considered for a smooth data migration?

For a seamless data migration, it's important to consider the following steps:

  • Detailed Planning:
    Create a comprehensive migration plan that includes all steps and resources.
  • Data Quality Check:
    Review and clean your data to minimize errors and inaccuracies.
  • Backup:
    Create backups of your data to ensure no critical information is lost.
  • Testing:
    Test the migration in a safe environment to identify and resolve potential issues beforehand.
  • Training:
    Ensure that your employees know how to work with the new data and systems.

What does data takeover mean?

Data takeover is a part of the data migration process where data is transferred from an old system to a new system to ensure that all necessary information is available. Data takeover is often a critical phase in data migration.

How do data migration and data conversion differ?

Data migration refers to the entire process of moving data from one place to another, while data conversion involves transforming data from one format to another. Data conversion is a specific aspect of data migration that is necessary when data in the old and new systems have different formats. For example, the source system might use a 2-character country code (DE), while the target system uses a 3-character code (DEU).

How does an integration platform like Syncler help?

An integration platform like Syncler assists with data migration by providing pre-built interfaces and tools to efficiently transfer and convert data between different systems. Syncler significantly simplifies the data migration process, reduces time spent, and minimizes errors. It ensures data quality and consistency, which is crucial for IT leaders and executives in businesses. The rollback function in Syncler allows you to revert to the original state at any time.