Distributed databases principles and systems
Distributed databases principles and systems
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Distributed Database Systems: Where Are We Now?
Computer - Distributed computing systems: separate resources acting as one
Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
Evolution of data modeling for databases
Communications of the ACM - Special issue on analysis and modeling in software development
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Relationship Merging in Schema Integration
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
Proceedings of the International Symposium on Database Systems of the 90s
Mariposa: a wide-area distributed database system
The VLDB Journal — The International Journal on Very Large Data Bases
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Medium-sized and large private companies and public institutions usually have several operational units that enjoy increasing scope to define their own rules for the development of their activities, procedures and modus operandi. From the point of view of the development of specific software to support the activities of these organizations, this freedom means that systems must be sufficiently flexible not only to allow them to be configured to fulfill each unit's needs and specific modes of operation but also to meet the needs of interaction among them through information exchange. In the case of an application consisting of several subsystems, the existence of a data repository common to all these subsystems means that, although parts of the database are accessed by only one subsystem, the data are stored in a monolithic form, translating into a loss of autonomy of the subsystems involved. The objective of this work is to propose guidelines for the modularization of databases, for both corporate data center schemas and specific schemas for independent units. This modularization not only supports the solutions to the interoperability but also enables Information Systems based on the data models in question to be really flexible.