HOW CAN MODEL-DRIVEN ARCHITECTURE AUTOMATE DATA CATALOGS FOR ENHANCED DATA MANAGEMENT?
In recent years, the scalability and maintenance of data catalogs posed significant challenges that hindered organizational efficiency and data accessibility. This paper examined these issues, highlighting the need for an automated approach. It advocated for the use of Model-Driven Architecture (MDA) to streamline the creation and maintenance of data catalogs. Through this approach, key data catalog components were automatically generated from higher-level models, minimizing manual work and improving both data integrity and system functionality. The findings indicated a considerable reduction in errors and operational demands, along with notable improvements in manageability and scalability. This integration of MDA into data catalog frameworks thus presented a compelling solution to the persistent challenges of data management, setting a new standard for efficiency and effectiveness in managing organizational data.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-15
- DOI
- https://doi.org/10.5281/zenodo.16965951
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00