You're migrating to a new system architecture. How can you ensure data integrity during the transfer process?

Plan, plan check the plan, run the test plan, plan again and then most probably there will be just small issues on the way. It is very underrated part which doesn’t come to 3 bullet points. It must be written run and checked several times

When migrating to a new architecture, we meticulously planned every step, including extensive data audits and validation processes. We used automated tools for data consistency checks and created backups before initiating the transfer. This careful planning helped us identify and resolve potential issues proactively, ensuring a seamless migration with maintained data integrity.

Data and system migration projects can often be high-risk. It is important to have defined fall back scenarios in case of problems.

Start as early as possible! I saw several projects in trouble underestimating the effort of data migration and starting late in the process. I strongly recommend to work on the topic "data migration" from day one.

If thats not your habit it must be starting now. Whatever happens there must be always data snapshot of the system before you touched it. Another issue is a procedure to roll back the changes but thats probably topic for another article in it self

Monitoring increase insight and potentially lower the risk. However, it is important to define technical KPIs and thresholds and put in place alerting. This information must be continuosly reviewed by all stakeholders.

Testing is key and also focus on the non-functional tests. I can happen that for huge databases the migration can take several days and that might not fit to the planned downtime.

Após transferir os dados, é crucial realizar testes extensivos para garantir que tudo funcione conforme o esperado. Isso inclui verificar a validade, integridade e unicidade dos dados. Além disso, considere a fonte dos dados, alterações feitas e frequência de atualização. A confiabilidade dos dados é essencial para insights significativos e tomada de decisões informadas.