faster, reusable data migration

problem: dead-end migrations

Data migration is disruptive, labor-intensive and too often creates throw-away solutions with obscure business rules tightly coupled to legacy source systems and physical definitions.

Hand-coding offers low initial costs, but with mapping rules often tied to business definitions and transformation rules tied to physical definitions, these solutions can make it difficult to locate the same fields across sources and targets.   The business rules hidden in this code are neither transparent nor reusable and the low performance of custom code can also create extended down time at “cutover.” 

High-priced commercial ETL tools can produce faster code, but talented (and expensive!) developers may still be required to laboriously re-key the confusing collection of business terms, pseudo-code and physical definitions in the typical data mapping document to create critical data mapping rules.  

expressor solution: better development, better data

The expressor data integration system addresses the pain points of data migration by simplifying complex data transformations and enabling business rule reuse with a metadata-driven, repository-enabled solution. 

expressor’s smart semantics – which correlates data from multiple, diverse sources to a set of common terms -- enable business architects and developers to share a business vocabulary that eliminates any confusion between data mapping documents and the resulting code.  These abstracted business terms are also type-independent, meaning developers need to create far fewer rules and check source/target physical definitions for clarification much less often. And since expressor also includes role-based tools that enable business architects to create usable expressor transformation rules, developers need to spend much less of their valuable time in translation and re-keying of these transformation rules.

With expressor, business rules and target metadata are stored in a central repository and can be reused.

expressor’s enterprise-class semantic metadata repository collects, stores, and manages all project information, including the data record structures and business rules that can be reused within an individual migration or in subsequent expressor projects.

expressor offers quicker development than hand-coded solutions, but it does so at a price point 60-80% lower than other ETL tools.  expressor’s ultrafast parallel data processing engine ensures that operational down time during cutover is kept to a minimum – as little as a few hours. 

benefits: increased quality, flexibility and reuse

By choosing the expressor semantic data integration system for your data integration projects, you can benefit from:

• reduced development time and cost
• higher quality code
• smoother implementation
• less disruption to operational systems
• more reusable code, rules and metadata for future data integration projects
• flexible and affordable term licensing options that allow you to scale your expressor investment to suit variable data migration needs