The Process of Data Migration
Regardless of approach, the data migration process includes these fundamental steps:
The evaluation of current data assets and the thorough creation of a migration strategy is the first steps in the complicated process of data migration. They are further simplified into:
- Refine the Scope: The main objective of this stage is to eliminate any extraneous data and establish the minimal amount of data needed to operate the system successfully. To do so, carrying out a detailed analysis of the source and destination systems is required.
- Assess Source and Target Systems: The operating needs of the present system should be carefully evaluated, along with how they might be modified for the new environment, as part of a migration strategy.
- Set Data Standards: By setting data standards, your team will be able to identify trouble areas throughout each stage of the migration process and prevent unforeseen problems during the post-migration stage.
- Estimate Budget and Set Realistic Timelines: Once you have refined the scope and evaluated the systems, it will become easy for you to choose the strategy, estimate project resources, and create timetables and deadlines.
Data Auditing & Profiling
This step examines and cleans the whole scope of data that needs to be moved. Prior to the migration, it seeks to uncover potential conflicts, identify data quality concerns, and eliminate duplications and anomalies. Auditing and profiling are time-consuming and labor-intensive processes. That is why automation solutions should be employed in large projects. Popular solutions include Open Studio for Data Ladder, Data Quality, Informatica Data Quality, SAS Data Quality, and IBM InfoSphere QualityStage.
Technically, this stage is optional. However, proper data migration procedures suggest that you create a thorough backup of the material you intend to migrate before doing the actual conversion. As a result, you’ll get an additional layer of security in the case of unforeseen migration failures and data losses.
Migration Design and Execution
Migration design dictates clarifying acceptance criteria, giving roles and duties to migration team members, and providing migration and testing procedures in the migration design. The amount of time needed to build scripts for ETL operations or to buy the right automation solutions determines how long this step will take. Migration design will take a few weeks if you simply need to adapt the existing software that is already in place. If not, it can take a few months.
This step is when data migration actually happens. It won’t endure more than a few days in the event of the big bang. Alternatively, execution will take considerably longer if data is delivered incrementally, but, as we’ve already established, there will be no downtime and there will be very little chance of serious errors. So, ensure that migration efforts don’t interfere with regular system operations if you’ve selected a phased strategy.
It is not a distinct phase as testing is integrated into the design, execution, and post-migration stages. If you’ve moved data in stages, you should evaluate each one to identify any issues and address them as soon as possible.
Auditing Following the Migration
Outcomes should be checked with important business users before deploying transferred data in production. This step verifies that the information has been transferred and recorded properly. It is possible to retire the old system following a post-migration audit.