1. Introduction 2 2. Certification 2 3. Getting Started 2 4. ‘Bang for the Buck’ Data Models 2 5. Design Patterns 2 6. Master Data Management (MDM) 2 7. Build your Own 2 8. Generic Data Models 2 9. From the Cradle to the Grave 2 10. Commercial Web Sites 2 11. Vertical Applications 2 Appendix A. Business Rules 2 Appendix B. Glossary of Terms 2 1. Introduction 1.1 Our Approach This book adopts a unique approach which is based on using existing Data Models as the basis
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Database Systems Chapter 6 Advanced Data Modeling Database Systems, 9th Edition 1 Objectives • In this chapter, you will learn: – About the extended entity relationship (EER) model’s main constructs – How entity clusters are used to represent multiple entities and relationships – The characteristics of good primary keys and how to select them – How to use flexible solutions for special data modeling cases – What issues to check for when developing data models based on EER diagrams Database
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Database Management Systems Tutorial Week 1 Weight 1% The tutorial assessment each week is generally based on your understanding of the week’s course content, your written answers to each week’s tutorial questions, your group interaction in discussing your answers, and your presentation to the class. You are required to provide written answers to each week’s tutorial questions. The due date for providing answers to each week’s tutorial tasks is by the beginning of your following week’s
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Cassandra - A Decentralized Structured Storage System Summary Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure. Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and large components fail continuously. The way Cassandra manages the persistent state
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Healthcare Data Warehousing Doug Kelley Health Informatics I Professor Lu December 7, 2012 Abstract ` Dimensional modeling lays the groundwork for data warehouses. Dimensional modeling is a similar process to traditional Entity/Relationship modeling in regards to tables (entities) having joins (relationships) with other tables via primary keys. Dimensional modeling has been used as a standard in industry for decision support systems in other areas such as transportation, production, sales
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IT 260 WEEK 1 Q1 Why should a person developing a relational database use keys in their relational database model? Keys as they suggest by their name are part of the relational database and play important roles in the structure of the table used by database. Therefore, it is impossible for a person developing a relational database to work without keys. The ability to link tables with keys that allows for the reasonable demonstration of information that relational database provides. Keys ensure
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Chapter 1 Databases and Database Users Review Questions 1.1. Define the following terms: data, database, DBMS, database system, database catalog, program-data independence, user view, DBA, end user, canned transaction, deductive database system, persistent object, meta-data, and transaction-processing application. Answer: Data: Facts that can be recorded and that have implicit meaning Database: Collection of related data DBMS: Collection of programs that enables users to create and maintain
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http://www.risc.uni-linz.ac.at/people/gbodnar January 23, 2005 2 Contents 0 Introduction 0.1 Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.2 Information Sources . . . . . . . . . . . . . . . . . . . . . . . . . 1 Data Modeling 1.1 Introduction . . . . . . . . . . . . . . . . . 1.2 The Entity-Relationship Model . . . . . . 1.2.1 Entities, Attributes, Relationships 1.2.2 Classification of Relationships . . . 1.2.3 Keys . . . . . . . . . . . . . . . . . 1.2.4 Entity-Relationship
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pcs or via the Microsoft Software Developer Network (MSDN) is a useful tool for drawing Entity Relationship Diagrams (ERDs). If you have questions on using Microsoft Visio, watch the following tutorials on using Visio to do entity-relationship modeling: • Part 1 • Part 2 • (there is a Part 3 in the series, but it contains some bad information) 1. Review Question #3 (four points). Why are entity integrity and referential integrity important in a database? Entity integrity
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* Time allotted: 3 Weeks * Deliverable: A list of scheduled interviews and observations, text of the questionnaires * Analyzing Data: The data gathered will be analyzed to determine business rules and preliminary data modeling. * Time allotted: 2 weeks * Deliverable: List of business rules to be reviewed, basic entities and attributes * Normalization: The data model will be completed with entities and relationships normalized. * Time
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