Introduction to Database and DBMS

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13 Terms

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DATA

  • raw, unorganized, unprocessed facts, such as values or measurements

  • Can be numbers, words, diagrams, images, observation, or even descriptions of things

  • can be captured, recorded, compiled, structured, retrieved, interpreted and stored

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INFORMATION 

  • reveals the meaning of data

  • the purpose is to aid in making decisions and/or solving problems or realizing an opportunity 

  • Knowledge is a combination of information 

  • When data is processed, organized, structured or presented in a given context to make it useful

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EXAMPLE

  • Data: 41213

  • Information: 4/12/13 is the date of your final software presentation

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DATABASE (DB)

  • Large, integrated, shared collection of data which will be used to support the activities if particular org

  • Can be viewed as a large repository that houses end-user data and metadata

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  • Inventory

  • Accounting

  • Hospital/Dental Information

  • HR/Personnel Systems

  • Payroll Systems - process salaries and benefits

  • University Systems

APPLICATIONS OF DB

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DATABASE MANAGEMENT SYSTEM (DB)

  • Software allows users to interact with DB

  • Convenient for user to retrieve and store data

  • App sends requests through the DBMS

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FACILITIES OF A DBMS

  • Define a DB (data types, structures, structures thru DDL)

  • Insert, delete, update, retrieve (DML)

  • Ex. SQL - formal and defacto language for RDBMS

  • Controlled access to DB

  • Ex. Provide security system

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  • Oracle

  • IBM (D2)

  • MS (MS SQL, Access)

  • Sybase (Informix)

  • Free (MySQL)

DBMS Industry

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FILE-BASED SYSTEM

Collection of apps that perform services to the end users

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FILE-BASED SYSTEM APPROACH

  • No centralized storage of data

  • Each department controls and stores its own data

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DB SYSTEM APPROACH

  • Having a DB controlled by a DBMS

  • Makes DB management more effective in an organization

  • Implemented in response to problems in the FB approach

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ADVANTAGES OF THE DB SYSTEM APPROACH

  • Consistency of data

  • Integrity of data

  • Sharing

  • Centralized data

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