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Data-Driven Migration Methodology

In many legacy data migration projects, the design and development stage can rely heavily on a review of source documentation. When these materials are absent, out-of-date or wrong, this stage represents one of the most significant risk areas.

That is precisely why Arbutus Migrate uses a data-driven methodology, using the real source data, rather than contrived test data. Migrate queries the source data directly, with no ETL programming required.

Advantages of Migrate's legacy data migration:

  • Uses real source data early in the process, revealing issues that must be addressed up front
  • Helps you estimate the scope of the project more accurately
  • Minimizes your reliance on reviews of potentially inaccurate source documentation
  • Ensures important business and technical issues are not overlooked
  • Allows you to derive most of your meta data directly from the source data
  • Supports agile methodologies and an iterative approach to legacy data migration, with continuous fine-tuning, until all issues are thoroughly addressed
  • Increases reliability of tests more than if the process was undertaken using test data
  • Allows users to quantify and identify data quality issues at the outset

green arrow Download: Arbutus Migrate Brochure (PDF) Arbutus Migrate Brochure

green arrow Visit: Arbutus Migrate product page

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