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Example Project Proposal of Hotel Reservation System0

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Introduction Ellen Walker CPSC 356 Database Design Hiram College
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Page 1: Example Project Proposal of Hotel Reservation System0

Introduction

Ellen WalkerCPSC 356 Database Design

Hiram College

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CPSC 356: Database Design

• Sources of information– Ellen Walker ([email protected])

– Web page (http://cs.hiram.edu/~walkerel/cs356)Syllabus handout (available on the web page)

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Database Implementation

Projects• External clients • Clients will…

– Meet with you within the next two weeks

– Approve each of 3 major phases– Attend presentations on the last day of class

– Help me to evaluate your projects• You may find your own client, but you cannot be your own client

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Database Implementation

Projects• You will…

– Each take a role on the project (see overview document) and switch roles for each phase

– Meet regularly (at least once a week) - in person or electronically (and keep minutes)

– Submit preliminary reports and final phase deliverables as specified in the syllabus. (Only final deliverables are graded).

– Submit confidential evaluations of your group members with each deliverable.

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Project Groups

• Usually, projects are done by groups of 3-4 people

• We have 5 in the class– Divide into 2 groups (2, 3)– Work as a single group (5)

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Entrepreneurial Mindset

• “A way of thinking and acting to create a new product, service or activity that satisfies a need and adds value to one’s self and community” -- from the grant proposal

• As consultants, you will apply this mindset throughout your project

• At points in the course, we will look at relevant literature and examples of entrepreneurship in the software industry.

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What is a Database?

• “Collection of related data”• Usually large (too large to fit in computer memory at once)

• Can be centralized or distributed• Generally accessed by “query” -- retrieving only “relevant” parts at once

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Where are Databases?

• E-commerce (e.g. shopping carts)• Airline & hotel reservation systems

• Credit card bureaus• Manufacturers (e.g. parts, tests, defects)

• Libraries• ERP systems (e.g. SCT Banner)

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Where else are databases?

• The human genome project• Finance software (e.g. quicken)

• …

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Who Interacts with Databases?

• Creating the System– System Analyst– Database Designer – Application Programmer – Project Manager

• Once the System Exists– Database Administrator– System Administrator– End User

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Advantages of Databases

• Redundancy Control• Data Consistency and Integrity• Data Sharing and Integration • Security• Improved Maintenance• Concurrency (without data loss)• Backup & Recovery services

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Disadvantages…

• Complexity• Size• Cost (Hardware & Software)• Performance • Conversion• Risk of failure

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File-based Systems

• Since the 1950’s…• Methods and vocabulary from paper records

• Custom-programmed individual applications– Sales (enter data, retrieve properties, contact clients)

– Contracts (enter data, record leases)

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Terminology

• File - collection of records• Record - set of logically connected data (one instance)

• Field - element of a record• Example:

– File = library card catalog– Record = one card– Field = author’s name

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Dream Home Example

• Sales– Property record (address, owner, rooms, rent)

– Client record (name, address, phone,property requirements)

• Contracts– Lease record (client, property, rent, payment info)

– Property record (address, rent)– Client record (name, address, phone)

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What’s Wrong?

• Each program stores its own data– No cross-program queries (% of clients that actually rented?)

– Multiply entered data (property addresses)• Cost• Inconsistency

• … in its own format– Incompatible data files– Change the format -> change the program!

• … to satisfy a limited set of queries– Program proliferation!

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How to Fix?

• Separate data handling from application program

• Make data definitions standardized and external

• Develop reusable query algorithms to be controlled by external information

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Better Definition of Database

• Database: A shared collection of logically related data and a description of data, designed to meet the information needs of the organization.

• Database Management System (DBMS): A software system that enables users to define, create, maintain, and control access to the database.

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Data / Program Separation

• In addition to data, database holds meta-data (data about data), e.g. field names and data types.

• DBMS now a single program (for all databases) that acts on both meta-data and data

• Provides a form of data abstraction

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Organizing Data

• Entity - a distinct object (noun) to represent

• Attribute - property of an entity• Relationship - association between entities (usually a verb)

• Example– Entities: customer, home– Attributes: name (of customer), address (of home)

– Relationship: customer RENTS home

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Database Management System

DatabaseDBMS

Query

Update

Update(non-db op)Query

Transaction

Low-levelOperations

e.g. RelationalAlgebra

High LevelLanguage(e.g. SQL)

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DBMS Software

• Data Definition Language– Specifies meta-data (data types, structure, constraints)

• Data Manipulation Language (e.g. SQL)– Insert, update, delete and retrieve data

• Access control– Security, Integrity, Concurrency, Recovery

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Components of DBMS Environment

• Hardware (servers, clients, storage)

• Software– DBMS environment (e.g. Access, Oracle)– Application programs

• Data• Procedures (in the “real world”)

– Control the design & use of the database

• People

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Database Design

• Find an appropriate schema (organization of attributes into tables) based on– Needs of the entire organization– Efficiency of access– Ease of maintenance– Logical relationships among the attributes (normalization)

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Bad Ideas for Database Design

• Representing the same information multiple times in different tables

• Putting entirely unrelated attributes in the same table

• Confusing views and schemas

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3 Phase Database Design

• Conceptual Design – Independent of all physical considerations– Validate against requirements (cannot be implemented!)

• Logical Design– Lower-level model for a particular kind of database (Relational vs. Hierarchical vs. Object-oriented)

• Physical Design– Data structures, disk layout, etc.


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