The successful cycle of data migration adherence follows proven methodologies to minimize security risks while maximizing efficiency. Any migration project foundation begins with an extensive assessment in the discovery phase; thus, businesses should catalog the local and existing structure of information with its dependencies on current datasets before finalizing transfer activities.
Another best practice facilitates in-depth documentation of the entire process, comprising final decisions, major challenges faced, and procedure details. Maintaining detailed records of business logic, major transformation rule summaries, and data lineage helps to understand what important changes are needed to adapt while transferring information to the new system. Therefore, this document becomes invaluable to understanding the core of business from testing to post-migration.
The quality enhancement of your current business data must be viewed as an upgraded opportunity to cleanse old existing datasets from the CI CD pipeline and eliminate duplicate forms with standardized formats. Also, it helps to implement improved governance practices by leveraging data quality migration initiatives associated with long-term benefits as a whole for the systems.
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