SlideShare a Scribd company logo
g
A

h

H
w

Data

consist on Raw facts &
figures
Data is lengthy and uncertain
Difficult to regenerate

Information

is process foam of
data and it is certain.
Information is short and
certain
Easy to regenerate
A component of a database which contains a single item such as
name, number, or combination of characters that describes some
aspect of an object

Collection of related fields that describe some object or activity



Collection of related records

Collection of integrated and related files or tables
Generalized class of people, places, or things for which data is
collected, stored, and maintained

Characteristic of an entity
For example, employee number or last name
The specific value of an attribute is called a data item

Field in a record used to identify the record
Uniquely identifies the record in a database file
A data anomaly such as a two people with the same name can be
resolved











Collection of interrelated data
Set of programs to access the data
DBMS contains information about a particular enterprise
DBMS provides an environment that is both convenient and
efficient to use.

Banking: all transactions
Airlines: reservations, schedules
Universities: registration, grades
Sales: customers, products, purchases
Human resources: employee records, salaries, tax deductions


A collection of data organized to meet users’ needs



A group of programs that manipulate the database and
provide an interface between the database and the user or
the database and application programs



Comprised of database, DBMS, and application programs
DBMS

Hardware

software

Data

Users

Procedures
Store important data such as phone
numbers, addresses, text, images, audi
o signals

Perform routine tasks such as
preparing income tax forms or
produce paychecks for employees

Make better decisions by using
information gathered from databases
and creating reports

Protect data from attacks and
unauthorized access
Data
dictionary

Access &
security

utilities

Report
generator

Backup
&
recovery

Query
language
refers to both the practice and the study of the activities people
perform in order to acquire, organize, maintain, retrieve and
use information items such as documents (paper-based and
digital), web pages and email messages for everyday use to
complete tasks (work-related and not) and fulfill a person’s
various roles (as parent, employee, friend, member of
community, etc.)
 Address Book
 Email
 PC databases
 Centralized database
 Client/server databases
 Distributed databases
 Database models

Data

information

knowledge
Central
Computer

Client

Client

Network
Database
Server

Client
Data (the database)
Software
Hardware
Users


We focus mainly on
the software

Store
Update
Retrieve
Organise
Protect
their data
Reduced
data
redundancy

Standardization
of data access

Easier
modification
and updating

Improved
data
integrity

Shared data
and
information
resources
defines the logical design of data.
 Describes the relationships between different parts
of data.
Hierarchical model
3 models


Network model

Relational model










Determines where data are actually stored on the storage device.
Low-level access method

Defines the logical view of the data
The main functions of DBMS are in this level.

Interacts directly with the user.
Change the data coming from the conceptual level to a format and
view that are familiar to the users.
Data are organized as an upside down tree.
Each entity has only one parent but can have
several children
The entities are organized in a graph.
 Some entities can be accessed through
several paths






Data are organized in two-dimensional
tables called relations.
The tables are related to each other.
The most popular model.
Standardized by ANSI and ISO for use on relational
databases.
 It is a declarative (not procedural) language, which
means that the users declare what they want without
having to write a step-by-step procedure.
 First implemented by Oracle in 1979.
 SQL allows you to combine the following
statements to extract more complex information
from database.









It is not a new model. It is based on relational model.
The data are stored on several computers that communicate
through the Internet or some private WAN.
Data are either fragmented, with each fragment stored at
one site, or data are replicated at each site.
Fragmented distributed databases
Replicated distributed databases
Some application like to see data as a
structure such as a record made of fields.
 Tries to keep the adv. of the relational
model and allows applications to access
structured data.
 In an OODB, objects and their relations are
defined. In addition, each object can have
attributes that can be expressed as fields.

Data base
Data base

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Data base

  • 1.
  • 3.
  • 4. w Data consist on Raw facts & figures Data is lengthy and uncertain Difficult to regenerate Information is process foam of data and it is certain. Information is short and certain Easy to regenerate
  • 5. A component of a database which contains a single item such as name, number, or combination of characters that describes some aspect of an object Collection of related fields that describe some object or activity  Collection of related records Collection of integrated and related files or tables
  • 6.
  • 7.
  • 8. Generalized class of people, places, or things for which data is collected, stored, and maintained Characteristic of an entity For example, employee number or last name The specific value of an attribute is called a data item Field in a record used to identify the record Uniquely identifies the record in a database file A data anomaly such as a two people with the same name can be resolved
  • 9.
  • 10.          Collection of interrelated data Set of programs to access the data DBMS contains information about a particular enterprise DBMS provides an environment that is both convenient and efficient to use. Banking: all transactions Airlines: reservations, schedules Universities: registration, grades Sales: customers, products, purchases Human resources: employee records, salaries, tax deductions
  • 11.  A collection of data organized to meet users’ needs  A group of programs that manipulate the database and provide an interface between the database and the user or the database and application programs  Comprised of database, DBMS, and application programs
  • 13. Store important data such as phone numbers, addresses, text, images, audi o signals Perform routine tasks such as preparing income tax forms or produce paychecks for employees Make better decisions by using information gathered from databases and creating reports Protect data from attacks and unauthorized access
  • 15. refers to both the practice and the study of the activities people perform in order to acquire, organize, maintain, retrieve and use information items such as documents (paper-based and digital), web pages and email messages for everyday use to complete tasks (work-related and not) and fulfill a person’s various roles (as parent, employee, friend, member of community, etc.)  Address Book  Email
  • 16.
  • 17.
  • 18.  PC databases  Centralized database  Client/server databases  Distributed databases  Database models Data information knowledge
  • 20. Data (the database) Software Hardware Users  We focus mainly on the software Store Update Retrieve Organise Protect their data
  • 21.
  • 22. Reduced data redundancy Standardization of data access Easier modification and updating Improved data integrity Shared data and information resources
  • 23.
  • 24. defines the logical design of data.  Describes the relationships between different parts of data. Hierarchical model 3 models  Network model Relational model
  • 25.
  • 26.
  • 27.       Determines where data are actually stored on the storage device. Low-level access method Defines the logical view of the data The main functions of DBMS are in this level. Interacts directly with the user. Change the data coming from the conceptual level to a format and view that are familiar to the users.
  • 28. Data are organized as an upside down tree. Each entity has only one parent but can have several children
  • 29. The entities are organized in a graph.  Some entities can be accessed through several paths 
  • 30.    Data are organized in two-dimensional tables called relations. The tables are related to each other. The most popular model.
  • 31.
  • 32. Standardized by ANSI and ISO for use on relational databases.  It is a declarative (not procedural) language, which means that the users declare what they want without having to write a step-by-step procedure.  First implemented by Oracle in 1979.  SQL allows you to combine the following statements to extract more complex information from database. 
  • 33.
  • 34.      It is not a new model. It is based on relational model. The data are stored on several computers that communicate through the Internet or some private WAN. Data are either fragmented, with each fragment stored at one site, or data are replicated at each site. Fragmented distributed databases Replicated distributed databases
  • 35. Some application like to see data as a structure such as a record made of fields.  Tries to keep the adv. of the relational model and allows applications to access structured data.  In an OODB, objects and their relations are defined. In addition, each object can have attributes that can be expressed as fields. 