Strengths And Weaknesses Of 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,

Hierarchical database have data in a tree like structure with a parent to child relationship (one-to-many). The parent could have many children but the children have only one parent. All the attributes of the data is in a list under one entity type.

Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows;

The data structure represents the logical relationships between data elements. In addition the data also determines the organizational structure, access methods, and alternative processing assosiativitas level for information.

The conceptual model will have all of the attributes from the students as well as the instructors. It will also have the all of the constraints. This model will have software and hardware independency. At this level any changes to the database management system will not affect this model. The physical model will take all the information that comes from the conceptual model and describe it so that it can be saved and stored. This model will need to know the physical storage device and access method so that it can reach the information stored in the devices. The physical model, not like the conceptual, will be both software and hardware

Relational data is when you can put data in a computer one time and it grows

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.

The data that is being stored in a database is known as Meta data. Meta data is also recognized as schema for the real world data. It expresses that what sort of data will be stored in the database, what will be size of a assured attribute of the real world data, how many and what qualities will be used to collect the data about the entity in the database.

Data are raw facts that have no meaning until they are processed and organized to identify patterns and relationships between the data elements.

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

Relational database contains data records that do not have a preset of relationships, permitting the user to define his or her relationship when accessing the data. Since users have much control over the data being accessed, relational databases can perform a variety of tasks. Such as defining the database; querying the database; adding, editing, and deleting data from the database; modifying the structure of the database; securing data from public access; communicating within the network; and exporting and importing data (Murthy, 2008).

Data is any personal information held about an individual whether this be in paper format or digital format for example; audio format or online databases. Paper based storage used to be the norm but now digital technology has improved and more and more companies and organisations are using this as it is more user friendly and easier to access, for instance having a file in London and needing information in Manchester. This analogy can also be used in defining the difference between paper postage and digital transmission. The latter

Example 1 – Consider the following relational database for the Super Baseball League. It keeps track of teams in the league, coaches and players on the teams, work experience of the coaches, bats belonging to each team, and which players have played on which teams. Note the following facts about this environment:

(a) A data model to explain its functional requirements and to produce a formal description

• 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