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The relational model captures the semantics of entity relationships as metadata.
Semantic models represent metadata as ordinary data.
It should be feasible to include 'predicates' that preserve the metadata relationships from the ER model making it possible to reverse engineer (transform) a semantic model to its original relational model configuration.
The problem is not unlike Star Trek's 'transporter system'. Converting all of one's various tissues to molecules to atoms to an energy beam and back again requires some important tagging along the way!
What else can I help you with?
What is ER models?
The Entity-Relationship Model is often referred to as a semantic data model, because it more closely resembles real world scenarios than, e.g., the relational model. . In the ER model, we model the concept of "Instructors." In the relational model we deal with names and phone numbers. . In the ER model, there is a distinction between entities (objects) and relationships between such entities. In the relational model, both concepts are represented by relations.
What is E-R data model?
The Entity-Relationship Model is often referred to as a semantic data model, because it more closely resembles real world scenarios than, e.g., the relational model. . In the ER model, we model the concept of "Instructors." In the relational model we deal with names and phone numbers. . In the ER model, there is a distinction between entities (objects) and relationships between such entities. In the relational model, both concepts are represented by relations.
Should orm be applied to simple and redundant everyday evolutions like driving to and from work?
No, object-relational mapping (ORM) is not suitable for simple everyday tasks like driving to and from work. ORM is a technique used in software development to map data between a relational database and an object-oriented model. It is not relevant or beneficial for activities unrelated to software development.
What do you understand by a Database-Model?
A database model is a theory or specification describing how a database is structured and used. Several such models have been suggested. Common models include: * Hierarchical model * Network model * Relational model * Entity-relationship * Object-relational model * Object model A data model is not just a way of structuring data: it also defines a set of operations that can be performed on the data. The relational model, for example, defines operations such as select, project, and join. Although these operations may not be explicit in a particular query language, they provide the foundation on which a query language is built.
Difference between network model and hierarchical model and relational model?
The relational model is a model in which data is isolated by object and foreign keys to those objects which is organized in tables with multiple columns or attributes. The hierarchical model is a model in which the data is organized in a tree structure that allows repeating information using parent/child relationships.
Does the Microsoft Access use a relational or flat-file model?
Access can use a relational model of a database design.
What is the most popular database model?
Relational Database Model
Compare between network hierarchal and relational model?
1. Relational Model : Newer database model; Network Model - Older database model 2. The network model structures data as a tree of records with each record can have multiple parent and child records, forming a lattice structure. The basic data structure of the relational model is the table, where information about a particular entity (say, an employee) is represented in columns and rows 3.The relational model has strong mathematical foundation with set theory and predicate logic. Network Model has no strong mathematical background. 4. Relational model is the most flexible of the database models. Network model is not very flexible. 5. Relational model has widespead use. Network model has limited use.
Are there any major similiarities between object oriented databases and relational databases?
In a Object Oriented Database, information is given in the form of objects as used in programming languages. "When database capabilities are combined with object programming language capabilities, the result is an object database management system (ODBMS). An ODBMS makes database objects appear as programming language objects in one or more object programming languages." (http://en.wikipedia.org/wiki/Object_database)"A relational database is a database that conforms to the relational model, and refers to a database's data and schema (the database's structure of how those data are arranged). Common usage of the term "Relational database management system" technically refers to the software used to create a relational database, but sometimes mistakenly refers to a relational database." (http://en.wikipedia.org/wiki/Relational_database)
What is relational in relational model?
A Relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd. Most popular commercial and open source databases currently in use are based on the relational model. A short definition of an RDBMS may be a DBMS in which data is stored in the form of tables and the relationship among the data is also stored in the form of tables.
What is post relational data model?
A number of extensions to the relational data model have been proposed in the three decades or so since its invention. Many of these extensions have been implemented in commercial DBMS. What is termed the post-relational data model here is not strictly a data model in that no coherent theory has been developed. Nevertheless it is useful to discuss it here in terms of a set of mech- anisms found in many contemporary DBMS. Such a data model is also referred to by the terms extended-relational and object-relational data model. In Chapter 18 we discuss how the proposed SQL3 standard addresses many of these features. In Chapter 34 we also consider how the ORACLE DBMS supports some of these features. In the first half of the chapter we consider two extensions to the data defin- ition part of the relational data model: abstract data types and nested relations. In the second half of the chapter we consider two constructs - triggers and stored procedures - that have been used both for data manipulation and data integrity purposes. The incorporation of these features into a relational DBMS provides it with the ability to handle complex objects and behaviour. Hence many of the DBMS with these features have termed themselves object-rela- tional systems.
Differentiate between the E-R model and Relational model?
The E-R model (Entity-Relationship model) is a visual representation of entities, attributes, and relationships in a database, while the relational model organizes data into tables with rows and columns. The E-R model focuses on the logical design of a database, while the relational model focuses on the physical implementation of data storage and retrieval. E-R model uses entities, attributes, and relationships to depict data structures, while the relational model uses tables, keys, and relationships to organize data.
