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Navathe completed his S.S.C. from Modern High School, Pune in 1961 and F.Y.Bsc (Inter Science) in 1963 and at B.Sc. (Physics) in 1965. He obtained his B.E. degree in Electrical Communications Engineering at the Indian Institute of Science, where he was a gold medalist.
Ramez A. Elmasri (20 October 1950 – 14 May 2022) [1] was an Egyptian-American computer scientist and a noted researcher in the field of database systems. He was also professor and associate chairman in the department of Computer Science and Engineering at The University of Texas at Arlington, Arlington, Texas.
The enhanced entity–relationship (EER) model (or extended entity–relationship model) in computer science is a high-level or conceptual data model incorporating extensions to the original entity–relationship (ER) model, used in the design of databases.
Database model for MediaWiki 1.28.0 (2017) Different types of database models A database model is a type of data model that determines the logical structure of a database.It fundamentally determines in which manner data can be stored, organized and manipulated.
Domain-key normal form (DK/NF or DKNF) is a normal form used in database normalization which requires that the database contains no constraints other than domain constraints and key constraints. A domain constraint specifies the permissible values for a given attribute, while a key constraint specifies the attributes that uniquely identify a ...
One or more physical ER models may be developed from each logical ER model. The physical ER model is normally developed to be instantiated as a database. Therefore, each physical ER model must contain enough detail to produce a database and each physical ER model is technology dependent since each database management system is somewhat different.
In database design, a lossless join decomposition is a decomposition of a relation into relations , such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data. [ 1 ]
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.