6533b861fe1ef96bd12c588f
RESEARCH PRODUCT
Executable Data Quality Models
Zane BicevskaGirts KarnitisJanis Bicevskissubject
Computer scienceData transformation02 engineering and technologycomputer.software_genreData modeling0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringInformation systemLogical data modelGeneral Environmental ScienceData elementDatabaseInformation qualityData warehouseData mapping020303 mechanical engineering & transportsData modelData qualityGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingData pre-processingData architectureData miningSoftware architecturecomputerData migrationData virtualizationdescription
The paper discusses an external solution for data quality management in information systems. In contradiction to traditional data quality assurance methods, the proposed approach provides the usage of a domain specific language (DSL) for description data quality models. Data quality models consists of graphical diagrams, which elements contain requirements for data object's values and procedures for data object's analysis. The DSL interpreter makes the data quality model executable therefore ensuring measurement and improving of data quality. The described approach can be applied: (1) to check the completeness, accuracy and consistency of accumulated data; (2) to support data migration in cases when software architecture and/or data models are changed; (3) to gather data from different data sources and to transfer them to data warehouse.
year | journal | country | edition | language |
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2017-01-01 | Procedia Computer Science |