Browsing by Subject "Database Migration"

This thesis delves into the complex world of multi-model database migration, investigating its theoretical foundations, strategic implementation, and implications for modern data management. The research utilizes a mixed-methods approach, combining quantitative benchmarking tests with qualitative insights from industry practitioners to give a comprehensive knowledge of the migration process. The importance of smart migration techniques, as well as the crucial function of schema mapping in assuring data consistency are highlighted as key results. Success examples from a variety of industries highlight the practical relevance and advantages of multi-model database migration, while implications for theoretical advances and practical issues in organizational contexts are discussed. The strategic implementation framework leads businesses via rigorous project planning, schema mapping, and iterative optimization, stressing the joint efforts of multiple stakeholders. Future concerns include the influence of developing technologies, the dynamic interaction between migration and data security, and industry-specific subtleties impacting migration tactics as the technological environment advances. The synthesis of ideas leads to a common knowledge base, defining the data management strategy discourse. This investigation serves as a road map for informed decision-making, iterative optimization, and continual adaptation in database management, developing a better knowledge of multi-model database migration in the context of modern data ecosystems.