Logical Data Model

Data objects can model relational data or advanced data types such as graphics, movies, and audio. Smalltalk, C++, Java, and others are objects used in object-oriented data. The object-relational is a combination of relational and object-oriented databases. Traditional and advanced data types can be used to construct database management systems. These systems can connect to a company’s website and update records as needed. Database Approach The main purpose of a database is data storage that can be stored and retrieved when needed. A popular common language called structured query language (SQL) is used to store and retrieve data in relational database. This language enables the systems to run a report or modify data or remove the data from the database. A database management system (DBMS) controls all aspects of a database, this is not limited to the creation, maintenance, and use of database. The DBMS ensures proper applications are able to access the database. An important purpose of a DBMS is to maintain the data definitions (data dictionary) for all the data elements in the database. It also enforces data integrity and security measures. Data Models Data models provide a contextual framework and graphical representation that aid in the definition of data elements. In a relational database, the data model lays the foundation for the database and identifies important entities,

* Write clearly and concisely about relational database management systems using proper writing mechanics and technical style conventions.

Database model defines the logical structure of the database by determining manner in which the data will be stored. Relational model is one of the most popular database models, which defines tables and relationships between the tables.

atabase is a collection of data which describes the activities of one or more organizations in a well-defined structure and the structure of a database is specific and it has a purpose. Database Management System (DBMS) is used to control or organize the data in a database. Database Management System (DBMS) is also used for maintaining large collections of data. Distributed database can be defined as a collection of various databases which can be stored at different computer network locations. In this paper we discuss about Distributed Databases, their advantages and disadvantages.

These models are used to design the internal schema of a database, represent the data tables, the data columns of those tables, and the relationships between the tables. The physical data model shows the technical details for implementation as a database or data structure. This model also represents a way in which data is physically stored.

Logic models represent a visual way of expressing the rationale or thought behind a program. Two other forms of expression may help concurrently support the development of a logic model, or accompany the model if it is to be communicated through written materials.

There are several important steps to consider when designing a database, as a well-designed database should be deployed and not only support the accuracy and integrity of business information but also avoid redundant data and assist with has enterprise level reporting tasked. If we analyze the

Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This

Logical and physical models represent the key elements and processes of the software development. The logical model describes the processes, and data, in as much detail as possible, without giving regard to how the system will be implemented. Logical data models include

A _______________ is an overall logical view of the relationships among the data elements in a database.

Figure 11 shows the relationship of a database using DBMS, connecting the user with the information from the database. A database consists of many data from customers to orders, services, employees, and so on. The user can be a customer or employee. Employees use DBMS to find customer’s information, service types, and service provider information. Later in the process, the DBMS will then extract data from the database to answer the users’ questions.

An enterprise data model presents an abstraction of a more complicated real-world event or object. Generally, a data is graphical simple representation, of an interconnected real organization’s data structures. The main function of the data model is to help in understanding the complexities of a particular organization. A data model within a database environment brings out the data structures, their transformations, constraints, relations, and characteristics, thus providing a blueprint of

Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of

• Entity-relationship modeling is logical representation of the data for an organization or for a business area. The E-R model is expressed in terms of entities in the business environment, the relationship among those entities, and attributes of both entities and their

Earlier the heterogeneous systems integration is a major issue. Therefore it has to be considered if the system proposed is amenable to multiple platforms and will give the same results. There are many applications available to enforce this, but it is to be borne in mind that in a data management system many components have to be integrated with the system and the layering of these components becomes critical. (Thuraisingham, 2001) But the requirements today have gone beyond the traditional DBMS and the system is expected too seamlessly perform varied functions like tracking functions, data analysis and reporting, vendor