Database Modernization
Manage DDS to DDL implementation accurately & efficiently. Integrate required data changes across entire databases, including quality and integrity checks.
You can have a ridiculously enormous and complex data set, but if you have the right tools and methodology, then it's not a problem.
Aaron Koblin – Known for transforming complex data into structured, repeatable, and meaningful outputs
Popular Use Cases
Field Expansion
Confidently automate managing field expansions, initializing new fields, merging fields. No need for writing complex SQL programs. Measure data quality before implementations, reducing downtime and errors.
Test Data Management
Use Data Copy Templates to identify selection criteria for building and maintaining test data. Trigger test data refreshes at build or scheduled intervals. Reuse, rollback or restore test data as part of installation processes.
KEY FEATURES
|
KEY FEATURES
|
KEY FEATURES
Template Based System
Improves productivity and quality using policy-based templates for all data movement during development.
Transformation SQL Generation
Default transformation SQL created. No need to write transformation programs with every change.
SQL Based
The full power of SQL can be used, customized or created for any transformation use case.
Pre-Installation Validation
Data transformation validation takes place before implementing application changes. Avoids unnecessary downtime in production.
Manual, Event or Scheduled
Data Transformation can be manually started, triggered as part of installations or scheduled for more suitable times.
Integration with MDRapid
Handle even the largest table change installations with virtually no downtime using MDRapid.
Download Datasheet
Speak To Our Experts
For more info, a live demonstration, or to discuss your business and technical needs with the Midrange Dynamics team.
Request Info