...Week One: Database Architecture | | Details | Due | Points | Objectives | 1.1 Explain database architectures. 1.2 Define database systems. 1.3 Define relational database architecture. | | | Reading | Read Ch. 1, “Database Systems,” of Database Systems: Design, Implementation, and Management. | 9/24 | | Reading | Read Ch. 2, “Data Models,” of Database Systems: Design, Implementation, and Management. | 9/24 | | Reading | Read Ch. 3, “The Relational Database Model,” of Database Systems: Design, Implementation, and Management. | 9/24 | | Reading | Reference Ch. 1, “Getting Started,” of Database Concepts as a supplemental reading. | 9/24 | | Reading | Read Ch. 1, “Introduction to Access,” of Exploring Microsoft® Office Access 2010 Comprehensive. | 9/24 | | Reading | Read this week’s Electronic Reserve Readings. | 9/24 | | Participation | Participate in class discussion. | All week | 2 | Nongraded Activities and Preparation SkillSoft® Registration | The first time you access SkillSoft®, you need to register.Do the following to register for SkillSoft®: Go to https://uopx.skillport.com Register by clicking on Register. The Register button is in the lower right corner, below the login boxes.Leave the Organization Code field blank.Use your phoenix.edu e-mail address.Use your student website login name as your user ID (the name before the @email.phoenix.edu).Click Submit. | 9/24 | ...
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... | | |College of Information Systems & Technology | | |DBM/380 Version 9 | | |Database Concepts | | |July 16, 2012 to August 13, 2012 | | |Group KM11BIT13 | Copyright © 2012, 2010, 2008, 2007, 2006, 2005, 2003 by University of Phoenix. All rights reserved. Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • University policies: You must be logged into the student website to view this document. • Instructor policies: This document is posted in the Course Materials forum. University policies are subject to change. Be...
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...Why Normalization Failed to Become the Ultimate Guide for Database Designers? Marin Fotache Alexandru Ioan Cuza University of Iasi, Romania Faculty of Economics and Business Administration Dept. of Business Information Systems Blvd. Carol I, nr. 22, Iasi, 700505, Romania Tel: + 40 744 497 654, Fax: + 40 232 217 000 fotache@uaic.ro ABSTRACT With an impressive theoretical foundation, normalization was supposed to bring rigor and relevance into such a slippery domain as database design is. Almost every database textbook treats normalization in a certain extent, usually suggesting that the topic is so clear and consolidated that it does not deserve deeper discussions. But the reality is completely different. After more than three decades, normalization not only has lost much of its interest in the research papers, but also is still looking for practitioners to apply it effectively. Despite the vast amount of database literature, comprehensive books illustrating the application of normalization to effective real-world applications are still waited. This paper reflects the point of 1 view of an Information Systems academic who incidentally has been for almost twenty years a practitioner in developing database applications. It outlines the main weaknesses of normalization and offers some explanations about the failure of a generous framework in becoming the so much needed universal guide for database designers. Practitioners might be interested in finding out (or confirming)...
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...Introduction Many organizations and companies rely on databases to run their operations and achieve competitive advantage. Database design refers to the different parts of the design of an overall database system. It can be thought of as the logical data structures used to store data, and the forms and queries used as part of the overall database application within the database management system (Wikipedia.org). The paper focuses on database design methods and steps that can be taken to achieve a good design structure that avoids redundancy, duplicate data or the absence of required data. The need to understand database models Databases are important to the organizational setting. Databases allow organizations to share data across multiple applications and systems. Organizations build several databases each one sharing data with several information systems. This is because it is almost impractical to build one database to meet an entire organization’s needs. Therefore data design is critical to the consistency, integrity and accuracy of the data in a database. A database that is improperly designed will make it difficult to retrieve certain types of information. Besides, there is the risk that searches will produce inaccurate results or information that may have potential damaging effects on a company's bottom line. Inaccurate database may also affect the daily operations of a business and its future direction. A good database addresses the informational and operational needs of...
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...Running Head: DATABASE NORMALIZATION Database Normalization *************** IST 7000 October 2006 Table of Contents ABSTRACT 3 Brief overview 4-5 Types of Normal Forms 5-9 Advantages and Disadvantages 9-10 Normalization Best practices 10-11 Conclusion 11-12 References 13 Appendix A 14 Example Normal Form Diagrams 15 Abstract In relational databases, normalization is a process that is used to eliminate redundancy, reduce the potential for anomalies during data processing, and maintain data consistency and integrity through out the database. It is a design technique used primarily as a guide in designing relational databases. Normalization is essentially a two step process that puts data into tabular form by removing repeating groups and then removes duplicated data from the relational tables. The theory of normalization is based on the concept of normal forms introduced by Edgar F. Codd in 1970. I choosed this topic because this is one of the areas in my role as a database administrator where I’m weak. During my training as a database administrator, I was never really offered a database design class, however, while at work, I have been occasionally given the challenging task of reviewing a data model and giving...
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...CS251-1301B-03 Fundamentals of Database Systems Phase 1 -5 Individual Project Robert March 24th, 2013 Table of Contents Project Outline 3 Description of the Database Design Life Cycle 4 The Entity Relationship Diagram 7 The Logical Model and Normalization 9 The Microsoft Access Database 11 The Microsoft Access Database Application 14 References: 18 Project Outline My idea for a project concept is for a granite fabrication and installation company called MasterStoneWorks. We will perform counter sales, contractor and walk-in customer kitchen and bath design, templates, fabrication, installation, and follow-up. To run efficiently (or at all) we must have a centralized DBMS with access for all employees in order to keep track of the progress of the workload and get the products delivered and installed on time. Issues with the process must be immediately known and corrected as this is a high value product with a small profit margin at this point in our economy. Any miscommunication can be disastrous. The MasterStoneWorks database will have the following tables: * Customers * Sales * Installs * Product choices * Costs (wholesale and retail) * Sales people * Project Managers * Templates * Follow-up * Customer support Description of the Database Design Life Cycle The seven steps of the SDLC/DBDSL: 1. Concept Planning – This first step is where the need to develop, or improve a system is ascertained...
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...Fundamentals of Database Systems Individual Project: Retail Store Database Table of Contents Section 1: Project Outline 3 Project Overview 3 Section 2: Description of the Database Design Life Cycle 4 Database Design Life Cycle 4 Database Creation 7 Section 3: The Entity Relationship Diagram 9 TBD 9 Section 4: The Logical Model and Normalization 10 TBD 10 Section 5: The Microsoft Access Database 11 TBD 11 Section 6: The Microsoft Access Database Application 12 TBD 12 References 13 Section 1: Project Outline Project Overview This project will go over the process of designing a database. The database that will be designed will be a database for a typical retail store. The purpose of this database will be to manage and store the data produced or collected during normal day to day operations. Throughout the rest of this project the information and processes will be aimed toward the creation of this retail store database. This is to help provide an example of what is needed to create a database and how each process or step corresponds to each other. Section 2: Description of the Database Design Life Cycle Database Design Life Cycle In order to create a database you must understand that there are certain steps that are contained within the Database Design Life Cycle (DBLC). These seven steps help you design the database and they give a step by step process to guide you through the phases of development. These steps are listed as follows: ...
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...Database Design DBM502 – Database Management March 24th, 2014 University of Phoenix Professor: Sam Haidar EzStream This paper will provide an overview of the database to be utilized for the startup company EzStream Inc. The core business of EzStream is to provide a complete solution to stream media content via online or WIFI. Customers will have the choice to rent, buy, or pay a monthly subscription to watch media content. Several components will break down the development of the database and provide details to the database infrastructure. Conceptual Design The conceptual design of EzStream’s DB will consist of Movies, Suppliers, and Customers. Customers will either rent or purchase movies, and have the option of paying a monthly subscription rate to watch movies via digital streaming. Data Analysis and Requirements * Tasks during Research and Analysis: * Identify essential "real world" information (e.g. interviews) * Remove redundant, unimportant details * Clarify unclear natural language statements * Fill remaining gaps in discussions * Distinguish data and operations Requirement Analysis First step: filter essential information vs unimportant details * Essentials * There are customers, suppliers, and media content * Identify age of audience for rentals * Customers have a customer identification number * Four weeks maximal rental time. * Unimportant details * "...Rentals since a few...
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...experienced explosive growth in the last few years, and data warehousing has played a major role in the integration process. A data warehouse is a subjectoriented, integrated, time-variant, and nonvolatile collection of data that supports managerial decision making [4]. Data warehousing has been cited as the highest-priority post-millennium project of more than half of IT executives. A large number of data warehousing methodologies and tools are available to support the growing market. However, with so many methodologies to choose from, a major concern for many firms is which one to employ in a given data warehousing project. In this article, we review and compare several prominent data warehousing methodologies based on a common set of attributes. Online transaction processing (OLTP) systems are useful for addressing the operational data needs of a firm. However, they are not well suited for supporting decision-support queries or business questions that managers typically need to address. Such questions involve analytics including aggregation, drilldown, and slicing/dicing of data, which are best supported by online analytical processing (OLAP) systems. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Data in an OLAP warehouse is extracted and loaded from multiple OLTP data sources (including DB2, Oracle, IMS databases, and flat files) using Extract, Transfer, and Load (ETL) tools. The warehouse is located in a presentation server...
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...integrated, time-variant, non-updateable assortment of knowledge utilized in business intelligence and support of organizing decision-making method (Inmon, Strauss & Neushloss, 2008). In data warehousing when the data is stored it is not updated, commonly data warehousing intended for evaluation connected with data source in addition to addressing queries it can be called copy of addressing data (Prabhu, 2002). The key intention with this paper is typically to target on the actual design connected with data warehouse in addition to modeling techniques like ER modeling and Dimensional modeling. Introduction A Data Warehouse is not just a new combination of all of the in business databases in an organization. Because of its attention on business intelligence, exterior data, and time variant information, a data warehouse is usually a special type of database. The good thing is, you should not learn another number of database abilities to do business with a new information storage place. Most data warehouses tend to be relational databases designed in many ways optimized pertaining to selection assistance, definitely not in business information running. Facts warehousing could be the procedure whereby organizations create and gaze after information warehouses and acquire meaning and notify selection generating using their company informative assets as a result of these kinds of data warehouses. Successful data warehousing involves subsequent established information warehousing...
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...DATABASE MODELING AND DESIGN The Morgan Kaufmann Series in Data Management Systems (Selected Titles) Joe Celko’s Data, Measurements and Standards in SQL Joe Celko Information Modeling and Relational Databases, 2nd Edition Terry Halpin, Tony Morgan Joe Celko’s Thinking in Sets Joe Celko Business Metadata Bill Inmon, Bonnie O’Neil, Lowell Fryman Unleashing Web 2.0 Gottfried Vossen, Stephan Hagemann Enterprise Knowledge Management David Loshin Business Process Change, 2nd Edition Paul Harmon IT Manager’s Handbook, 2nd Edition Bill Holtsnider & Brian Jaffe Joe Celko’s Puzzles and Answers, 2 Joe Celko nd Location-Based Services ` Jochen Schiller and Agnes Voisard Managing Time in Relational Databases: How to Design, Update and Query Temporal Data Tom Johnston and Randall Weis Database Modeling with MicrosoftW Visio for Enterprise Architects Terry Halpin, Ken Evans, Patrick Hallock, Bill Maclean Designing Data-Intensive Web Applications Stephano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, Maristella Matera Mining the Web: Discovering Knowledge from Hypertext Data Soumen Chakrabarti Advanced SQL: 1999—Understanding Object-Relational and Other Advanced Features Jim Melton Database Tuning: Principles, Experiments, and Troubleshooting Techniques Dennis Shasha, Philippe Bonnet SQL: 1999—Understanding Relational Language Components Jim Melton, Alan R. Simon Information Visualization in Data Mining and Knowledge Discovery Edited by Usama Fayyad, Georges G. Grinstein...
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...(Full-time, daytime studies): Lectures - 16 h per semestre Laboratory works - 32 h per semestre Individual work - 72 h per semester Course aim Understandig of models and system of information resourses. Jelena Mamčenko Introduction to Data Modeling and MSAccess CONTENT 1 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling In the Context of Database Design................................................................ 6 1.1.3 Components of A Data Model................................................................................................ 6 1.1.4 Why is Data Modeling Important? ......................................................................................... 6 1.1.5 Summary ................................................................................................................................ 7 1.2 The Entity-Relationship Model ...................................................................................................... 7 1.2.1 Basic Constructs of E-R Modeling............................................................................................
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...HANDS-ON DATABASE AN INTRODUCTION TO DATABASE DESIGN AND DEVELOPMENT Steve Conger Seattle Central Community College Prentice Hall Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo Editorial Director: Sally Yagan Editor in Chief: Eric Svendsen Executive Editor: Bob Horan Product Development Manager: Ashley Santora Editorial Project Manager: Kelly Loftus Editorial Assistant: Jason Calcaño Director of Marketing: Patrice Lumumba Jones Senior Marketing Manager: Anne Fahlgren Marketing Assistant: Melinda Jensen Production Project Manager: Renata Butera Creative Art Director: Jayne Conte Cover Designer: Suzanne Behnke Cover Art: Kheng Guan Toh/Fotolia, Inc Media Editor: Denise Vaughn Media Project Manager: Lisa Rinaldi Full-Service Project Management: Chitra Sundarajan/Integra Software Services Pvt. Ltd. Printer/Binder: Edwards Brothers Cover Printer: Lehigh-Phoenix Color/Hagerstown Text Font: Palatino Microsoft® and Windows® are registered trademarks of the Microsoft Corporation in the U.S.A. and other countries. Screen shots and icons reprinted with permission from the Microsoft Corporation. This book is not sponsored or endorsed by or affiliated with the Microsoft Corporation. Copyright © 2012 Pearson Education, Inc., publishing as Prentice Hall, One Lake Street, Upper Saddle...
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...M I C R O S O F T T E C H N O L O G Y A S S O C I AT E Student Study Guide EXAM 98-364 Database Administration Fundamentals Preparing for MTA Certification for Cert ca n Certification MICROSOFT TECHNOLOGY ASSOCIATE (MTA TECHNOLOGY ASSOCIATE (MTA) ECHNOLOGY C (MTA A) STUDENT STUDY GUIDE FOR DEVELOPERS UDY F DEVELOPERS 98-364 Database Administration Fundamentals Authors Peggy Fisher (Web Development and Database Administration). Peggy teaches computer science at a rural high school in central, Pennsylvania. Indian Valley High School offers courses in programming (C#, VB, and Java for the AP course), and Web design (Expression Web, HTML, JavaScript, and CSS). Peggy worked for a large insurance company outside Philadelphia, Pennsylvania, prior to leaving the corporate world to join the field of education. She has been at IVHS for the past eight years and truly enjoys her new career. Peggy also teaches part-time at Pennsylvania State University in the Continuing Education program. Her goal in teaching is to instill the love of learning so that her students will graduate and become lifelong learners. Peggy is the co-author of the Web Development Exam Review Kit in the MTA Exam Review Kit series. Patricia Phillips (Lead Author and Project Manager). Patricia taught computer science for 20 years in Janesville, Wisconsin. She served on Microsoft’s National K-12 Faculty Advisory Board and edited the Microsoft MainFunction website for technology teachers for two years...
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...HANDS ON DATABASE by Steve Conger © 2010 Hands ON Database Introduction Many students taking an introductory database course need hands-on experience. Typically they are under pressure to finish quickly with a certificate or degree and get to work. They need to get actual practice in the process of designing and developing databases that they can apply in their future employment. They need to create tables, enter data, and run SQL queries. This book is designed for them. Hands on Database: an Introduction to Database Design and Development focuses on the process of creating a database. It guides the student through the initial conception of the database. It covers gathering of requirements and business rules, the logical and physical design and the testing of the database. It does this through a continuous narrative that follows a student, Sharon, as she designs and constructs a database to track the tutoring program at her school. It shows some of her missteps as well as her successes. Students get hands-on experience by doing practices and developing scenarios that parallel the narrative. After completing this book students will have a good sense of what is involved in developing and creating a database. Below is a list of the book outcomes. A student who has completed this book will be able to give a general definition of a relational database to identify a variety of ways to gather database requirements to define business rules for a database to create an...
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