Taking into account the fast pace of today’s data environments, the timeframe a company has for a migration opportunity has been shortened. Organizations need to be able to maintain productivity and uptime levels while also handling a data migration at the same time. This is just one of the challenges that are keeping data architects, managers, and migrators on their toes.
Some of the most common data migration issues include:
- Extended or unexpected downtime
- Data corruption, missing data, or data loss
- Exceeded originally planned staff time
- Application performance issues
- Technical compatibility issues
In conjunction, data migrators are:
- Not taking the lead to learn about their data
- Not establishing a proactive migration plan
- Not publicizing that plan
- Not making sure that the plan effectively considers preplanning, migration staging, pre-migration validation, and post-migration validation
Companies need to take the lead and conduct in-depth analysis up front for how data is going to be moved to prevent expensive issues from popping up after a migration is complete. The more planning you can do before the migration phase, the less effort you will expend during and after the migration to the target system.
Here are some other considerations that need to be made prior to a data migration:
- A complete profiling of the source data systems should be conducted
- Ensuring that the right data integration tool is selected
- Maintaining a reliable data quality management process and ensuring the QA teams are devoted to overseeing the data migration, validation, and implementation process
The best response IT professionals have shared to this question is to employ consistent, reliable, and repeatable methodology for migrations that incorporate planning, technology implementation and validation.
What are some of your biggest data migration challenges and concerns? We’d like to hear from you in our comments section!
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