IST 220 – Intro to Databases

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IST 220 – Intro to Databases Lecture 1 An Overview

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IST 220 – Intro to Databases. Lecture 1 An Overview. Course Objectives. In this course, we will learn Fundamentals of (relational) database Several widely used database systems DB design and implementation Developing simple DB applications. Textbook. Exploring Microsoft Access 2002 - PowerPoint PPT Presentation

Transcript of IST 220 – Intro to Databases

Page 1: IST 220 – Intro to Databases

IST 220 – Intro to Databases

Lecture 1

An Overview

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Course Objectives

In this course, we will learn Fundamentals of (relational) database Several widely used database systems DB design and implementation Developing simple DB applications

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Textbook

Exploring Microsoft Access 2002 Grauer & Barber Prentice Hall

Features A good introduction to Access components

and features Demonstrating database design and

implementation in a step-by-step setting Introducing how to build interactive DB

applications using macros and VBA modules

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The Approach

Learn relational database through practices Getting started with MS Access

Convenient templates for DB design and implementation

Easy-to-use tools Extended functionalities Widely used in various applications

Getting exposed to SQL with Oracle universal standard query language Industry strength RDBMS

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Major Topics

Introductions to RDBMS and MS Access DB building blocks

Tables – data storage

Queries – data retrieval and manipulation (insert, delete, update)

Forms and reports – user interfaces for displaying data/info

Data modeling & RDB design (steps and rules) Application development using switchboards,

as well as macros & VBA modules SQL (using Oracle)

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Class Plan & Grade Breakdown

Quizzes (5 at 20 points each) 100 points

Midterms (2 at 100 points each) 200 points

Final 150 points

Homework Assignments 150 points

In-class Labs 200 points

Projects and Presentation 200 points

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What Is a Database?

To answer this question, we will discuss the following related concepts Data Information Database Relational database Database management system Database applications

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Data

Definition by Merriam-Webster’s factual information (as measurements or statistics)

used as a basis for reasoning, discussion, or calculation

Raw data Raw data (pieces of information) may not be so

helpful without proper manipulation

Data is the set of static value you store in the tables of the database (You store data.)

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Information

Information is Derived from raw data Specially prepared for certain audiences

Before useful information can be obtained Data needs to be defined and stored in a highly

organized manner Data should be easy to add into and retrieve from a

database Information is data that is retrieved and organized in a way that is meaningful to the person viewing it. (You retrieve information.)

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Database

A database is a collection of related raw data that is well-defined and organized. Usually with data for several subjects (entities)

within a certain application (domain) Teams Players Games Scores and technical statistics

In a relational database, data are stored in tables each of which is designated for a specific subject

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Example – Hawks Roster

Hawks Roster

  2002-03 Roster

 NUM PLAYER POS HT WT DOB FROM YRS

 3Shareef Abdur-Rahim

F 6-9 230 12/11/76 California '99 6

  David Andersen F 7-0 242 6/23/80 Australia R

 6 Cal Bowdler (FA) F 6-10 253 3/31/77 Old Dominion '99 3

 4 Chris Crawford F 6-9 235 5/13/75 Marquette '97 5

 15 Emanual Davis G 6-5 195 8/27/68 Delaware State '91 5

 12 Dan Dickau G 6-0 190 9/16/78 Gonzaga '02 R

 5 Dion Glover G 6-5 228 10/22/78 Georgia Tech '02 3

 44 Alan Henderson F-C 6-9 240 12/02/72 Indiana '95 7

 1 DerMarr Johnson F 6-9 201 5/05/80 Cincinnati '03 2

 2 Nazr Mohammed C 6-10 250 9/05/77 Kentucky '99 4

 14 Ira Newble (FA) F 6-7 215 1/20/75 Miami (Ohio) '97 2

 42 Theo Ratliff C-F 6-10 230 4/17/73 Wyoming '95 7

 13 Glenn Robinson F 6-7 230 1/10/73 Purdue '94 8

 30 Mark Strickland (FA) F 6-10 220 7/14/70 Temple '92 7

 31 Jason Terry G 6-2 176 9/15/77 Arizona '99 3

Row (orrecord)

Column (or field)

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A 100-Year-Old Example

Aug 13 Adah Talbot ½ day in the afternoon$0.50

Banked for Hara Talbot

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Database Management System

• A DBMS is a software system which takes care of Data definition Data storage and retrieval Data manipulation

Insertion Modification Deletion

Other functions, such as reporting By using a DBMS, applications programmer

can focus on business logic

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File-Processing Systems

X

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File-Processing Systems

Records are stored in separate files Drawbacks

Separated and isolated data Data duplication Application program dependency

Read from the product file for 20 bytes starting from location 1234, from the customer file ...

The difficulty of synchronize data changes The difficulty of representing data in the users’

perspectives

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Why DBMS?

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Database Systems

DB technology was developed largely to overcome the limitations of file systems

Advantages Integrated data Reduced data duplication Program/data independence

SELECT ProductName FROM Product WHERE ProductId = ‘P010’

Easier to update Easier representation of the users’ views

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Relational Databases

The term relational is used because In RDB, data are stored in tables. Each table is a mathematical relation on a number

of sets

Tables are related in a similar way

Aug 13 Adah Talbot ½ day in the afternoon$0.50

Month {Jan, …, Dec}Day {1, 2, …, 31}Worker {…}Time worked {…}Wage {…}

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RDBMS Capabilities

Data definition Attributes – columns of your tables Data types – date, text, numeric, money, etc Relationships – among data in different tables

Data manipulation Data control – permission to use data

Fans can read statistics on website The Hawks manager can add, remove, and modify

player records

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Data Definition

A database is self-describing Metadata – data used to define user data

or data about data

Aug 13 Adah Talbot ½ day in the afternoon$0.50

MonthDayWorkerTime workedWage

Text Number Text Text Money

Metadata, or schemaUser data

Data type Valid range

{Jan, …, Dec}{1, 2, …, 31}{…}{…}{…}

Field name

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Example – Data Definition in Access

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Example – Relationship in Access

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Components of DB Systems

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DB Users

Types of Users End users (naïve users)

Limited access to data, through forms or reports

Application developers Use programming languages w/ DB accessibility

Sophisticated users Use query languages and tools

Specialized users Write special applications, such CAD, GIS, etc

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DB Administrators

DBA is the central control over the system DBA functions include

Schema definition and modification Storage structure definition Granting authorization for data access

Read only Change (add and/or modify) Create tables and modify schema

Routine maintenance

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Uses of DBMS

A significant amount of related data Data about different subjects Multiple uses of these data

Data used by multiple users Changes to data should be synchronized Accesses to data must be controlled

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Sample DB Applications

In a local area network

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Sample DB Applications

In a wide area network or over the Internet

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Characteristics of Types of DBs

Type Sample Application

Number of Concurrent users

Typical Size of Database

Personal Wedding list 1 < 10 MB

Small Business

Entertainment scheduling

<25 < 100 MB

Organizational Licensing and registration

Hundreds > 1 trillion bytes

Internet Microsoft Press Books

Possibly Hundreds

Any