Jorge Santana IT203 Database Development Paul Michael Kelly Jr. 03/24/2014 LAB 1 Lab 1.1 – Explore the AdventurWorks Database Using SQL Server Management Studio. Lab 1.2 – Define Major Topics for a Database Nouns Major Topics Doctors Doctor’s Information Patients Patient’s Information Drugs New drug‚ Prozac Interviews Extent of depression‚ sleeping patterns‚ activity level‚ etc. Check ups Blood pressure‚ blood test results‚ depression indicators‚ etc. Lab 1.3 – Create a Statement
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College of Business Hospitality & Tourism Studies Department of Computer Science & Information System CIN623 Database Design & Programming Final Examination Trimester 1 – 2011 Date: Duration:3 hours plus 10 minutes INSTRUCTION TO STUDENTS 1. You are allowed ten minutes extra reading time during which you are not to write 2. Write all answers to each question in the Answer Booklet. 3. Write your Student ID number at the top of each attached sheet. 4. Insert all written foolscaps in their correct sequence
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Normalization of Database Tables Introduction to Normalization of Database Tables Normalization of Database Tables l Introduction to Normalization of Database Tables 4 4 4 ISM 602 Dr. Hamid Nemati 4 4 4 Functional Dependency l Introduction to Normalization of Database Tables l l A Functional Dependency Is A Relationship Between Or Among Attributes Such That The Values Of One Attribute Depend On‚ Or Are Determined By‚ The Values Of The Other Attribute(s)
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Key concepts Let me start by naming a few of the most important concepts in relational database design. A basic understanding of these will be required to understand the rest of the article. * Primary Key (PK) A column with a unique value for each row. Although not all database management systems (DBMS) require you to put a PK into each table‚ from a design perspective a PK is a requirement. No table should be without one. * Foreign Key (FK) These define relationships between tables. When
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Silberschatz−Korth−Sudarshan • Database System Concepts‚ Fourth Edition Front Matter 1 1 11 11 35 35 36 87 140 140 141 194 229 260 307 307 308 337 363 393 393 394 446 494 529 563 563 564 590 637 Preface 1. Introduction Text I. Data Models Introduction 2. Entity−Relationship Model 3. Relational Model II. Relational Databases Introduction 4. SQL 5. Other Relational Languages 6. Integrity and Security 7. Relational−Database Design III. Object−Based Databases and XML Introduction 8. Object−Oriented
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Database Design Ryan K. Stephens Ronald R. Plew 800 East 96th St.‚ Indianapolis‚ Indiana‚ 46240 USA Database Design ASSOCIATE PUBLISHER Copyright 2001 by Sams Publishing EXECUTIVE EDITOR Bradley L. Jones All rights reserved. No part of this book shall be reproduced‚ stored in a retrieval system‚ or transmitted by any means‚ electronic‚ mechanical‚ photocopying‚ recording‚ or otherwise‚ without written permission from the publisher. No patent liability is assumed with respect
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Table: Similar to spreadsheet used to store data. 2. Queries: Method of extracting specific data 3. Forms: Element to modify and insert records into you databases 4. Reports: It contains raw data and allows the organization of information in an easy way. 5. Databases: collection of associated information 6. Relational databases: access databases in which more than one can share information. 7. Record: each row in a table. 8. Data Value: an item such as data‚ or such as a single phone number.
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What is a database? * A database is a structured collection of data. The data is typically organized to model relevant aspects of reality (for example‚ the availability of rooms in hotels)‚ in a way that supports processes requiring this information (for example‚ finding a hotel with vacancies). * The term database is correctly applied to the data and their supporting data structures‚ and not to the database management system (DBMS). The database data collection
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Career Investigation: Database Administrator Keith Hudson Davenport University FRSM100‚ Career and Education Seminar Aura Gardner June 26 11‚ 2013 Definition of Success Success in my opinion can only be defined as what was left behind to be experienced or built upon for the next generation. This would be a legacy left to others which speak to your contribution to society and family. Material possession and financial gain does not identify success‚ but could be a benefit of success
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Database Design Process Database Life Cycle Key points Database design must reflect the information system of which the database is a part Information systems undergo evaluation and revision within a framework known as the Systems Development Life Cycle (SDLC) Databases also undergo evaluation and revision within a framework known as the Database Life Cycle (DBLC) There are two general design strategies exist: top-down vs. bottom-up design centralized vs. decentralized design 2
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