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Company LOGO Database System I Gde Dharma N. Fenomena “Information Overload” “The percentage of unstructured data is 85% of the total and growing..” ---Delphi.

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Presentation on theme: "Company LOGO Database System I Gde Dharma N. Fenomena “Information Overload” “The percentage of unstructured data is 85% of the total and growing..” ---Delphi."— Presentation transcript:

1 Company LOGO Database System I Gde Dharma N

2 Fenomena “Information Overload” “The percentage of unstructured data is 85% of the total and growing..” ---Delphi Group Survey, 2008

3 Data VS Information : What is the difference?

4 What is Data?  Data can be defined in many ways.  Data is a collection of facts, such as values or measurements.  Data can be defined in many ways. Information science defines data as unprocessed information.  It can be numbers, words, measurements, observations or even just descriptions of things.

5 What is Information?  Information is data that have been organized and communicated in a coherent and meaningful manner.  Data is converted into information, and information is converted into knowledge.  Knowledge; information evaluated and organized so that it can be used purposefully.

6 Universe of Discourse  A database is a model of some aspect of the reality of an organisation.  It is conventional to call this reality a universe of discourse (UoD), or a domain of discourse. Universe of Discourse Database Design Database Scheme

7 What is Database?  A Database is any collection of data.  Models a real-world enterprise  A DBMS is a software system designed to maintain a database.  We use a DBMS when  there is a large amount of data  security and integrity of the data are important  many users access the data concurrently

8  Factbases  Datum  Persistence  Intensional dan Extensional Parts  Integrity  Redudancy  Transactions  Integrity Constraints Nature of Database

9 Data Model  Hierarchy Data Model  Network Data Model  Relational Data Model

10 DBMS Approach  Top-Down Approach, start making database with planning stage. Example : Entity Relationship Diagram.  Bottom-Up Approach, used to transform from traditional system or form to database.

11 Why use a DBMS?  Without a DBMS, we’d have : Data stored as bits on disk organized as files Access by a collection of ad hoc programs Users of the data There is no control or coordination of what these program do with the data

12 Why use a DBMS?  With a DBMS, we have : Data stored as bits on disk organized as files Application Users of the data DBMS provide control and coordination to protect the data. DBMS

13 DBMS Advantage  High Performance for large data.  Data Integrity.  Data Independence.  Centralization of data.  Data Security more flexible.

14 Main Component of Database  Hardware  Software  Data  User

15 Layers of Data Abstraction View 1View 2View 3 Conceptual Schema / Internal Schema / Logical Schema Database File External Layer Logical Layer Physical Layer

16 Functional Component of Database  Database Manager  File Manager  Disk Manager

17 Database Development Life Cycle

18  Thank you for your attention.  Any Question?????


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