databases. database information is not useful if not organized in database, data are organized in a...
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Database
• Information is not useful if not organized
• In database, data are organized in a way that people find meaningful and useful.
• Database Management System (DBMS) is used to input, sort, organize and store data.
Figure 14-1
DBMS Components
• Hardware: the physical computer system
• Software: the program that allows users to access, maintain update the data
• Data: Data are stored on the computer. In database data are separate entity from the software that access them
• Users: could be either (1) end users: people who has access to the database or (2) application program: applications that access and process data
• Procedures: rules that are defined and followed by the users
Database architecture
• Internal Level: Interact directly with the hardware
• Conceptual Level: (1) Define the logical view of the data. (2) Define the data model. (3) Contain the main functions of the DBMS (4) Intermediary level that free users from dealing with internal level
• External Level: (1) Interact directly with users (2) Display data in familiar format
Database Model
• Database model defines the logical design of data.
• Database model describes the relation between different parts of data.
• There are three database models:1. Hierarchical Model
2. Network Model
3. Relational Model
Hierarchical model
• Data are organized in an upside down tree
• Each entity has one parent and many children
• Old and not used now
Network model
• Entities are organized in a graph
• Entities can be accessed through several paths
• Old and not used
Relational model
• Data are organized in two dimensional tables (relations)
• Tables re related to each other
• Relational Database Management System (RDBMS) are more common model used today
Relation (Name, Attributes, Tuples)
• Relation appears in 2 dimensional table
• That doesn’t mean data stored as table; the physical storage of data is independent of the logical organization of data
• Attributes are the column heading
• Each column must have a unique heading
• Number of columns is called the degree of the relation
• Tuple is a collection of attribute value
• Total number of rows is called Cardinality of the relation
• Each relation must have a unique name
Name
Update operation
• Unary operation
• Update Operation: Changes the values of some attributes of a tulpe
Select operation
• Unary operation
• Select Operation: Uses some criteria to select some tuples from the original relation
Project operation
• Unary operation
• Project Operation: Creates relation in which each tulpe has fewer attributes
Join operation
• Binary operation
• Join Operation: Takes two relation and combine them based on common attribute
Union operation
• Binary operation
• Union Operation: Creates new relation in which each tuple is either in the first relation, the second relation or in both
Intersection operation
• Binary operation
• Intersection Operation: Creates new relation in which each tuple is either in both relations.
Difference operation
• Binary Operation
• Difference Operation: Creates new relation where the new tuples are in the first relation but not in the second.
SQL
• SQL is the standard language used for relational databases.
• It is declarative language where users declare what they want without having to write a step by stem procedure.
• It was first implemented by Oracle Corporation
3. Update
• SQL Update Operation format
update RELATION-NAMEset attribute1 = value1 attribute 2 = value2 …where criteria
6. Join
• SQL Join Operation format
select attribute-listfrom RELATION NO1, RELATION NO2where criteria
Join (Example)
select No, Course-Name, Unit, Professorfrom COURSES, TAUGHT-BYwhere COURSES.No = TAUGHT-BY.No;
8. Intersection
• SQL Intersection Operation format
select *from RELATION NO1intersectionselect *from RELATION NO2
9. Difference
• SQL Difference Operation format
select *from RELATION NO1minusselect *from RELATION NO2
Distributed Databases
• Based on the relational model
• Data are stored in several computers that communicate through the internet
• Data are either (1) fragmented or (2) replicated
1. Fragmented Distributed Databases
• Data are localized; data are stored on local site
• Data can be accessed from different sites as well as the local site
• Although each site has complete control over its local data, there is global control through the internet
2. Replicated Distributed Database
• Each site holds an exact replica of another site
• Any modification in one site is repeated at every site
• If the system fails in one site, the users at this site can access data at another site
The levels of Data
Database One or more tables
Table (relation)
A collection of Records
Record A group of related fields
Field One or more character
Character At least 8 bits
Bit 0 or 1
Types of Database Program
• Are the software tools used to create database. Examples of database programs are:
1.File Management Programs
2.Database Management System
Advanced Databases• Data Warehouses and Data MiningA combination of smaller database that belong to the corporation
• Client/Server Database SystemsSoftware programs used to respond to remote users’ request for
information over the LAN. Server software runs on the server. Client software connects the user to server. The front end of the software is the part that interact with users. The back end refers to the program code. To request information query language is used.
• Web-database integrationEnables customers to proceed enquires over the net. Users don’t
have to use SQL. The web server accept the request and translates it to a query that is sent to the database over the internet
5 Characteristics of Good Database
Data Integrity Ensuring data is valid
Data Independence Data is separated from software
Avoiding data Redundancy
Repetition of input data is avoided
Data Security Data is not accessible to unauthorized users
Data Maintenance Set procedures for adding ,deleting … records for the purpose of optimization