'Relationship sets' diaporamas de présentation

Database System Concepts

Database System Concepts. Instructor: Jin Yuanping ypjin@seu.edu.cn Professor of College of Software Engineering, Southeast University The reference book: Database System Concepts (4th Edition), A. Silberschatz , et al, McGraw-Hill, 2002. The Content of the Course 1 Introduction

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Introduction to Database

Introduction to Database. CHAPTER 6 Database Design and the E-R Model. Entity Sets Relationship Sets Design Issues Mapping Constraints Keys E-R Diagram Extended E-R Features Design of an E-R Database Schema Reduction of an E-R Schema to Tables. PART 2: DATABASE DESIGN.

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Entity-Relationship Modelling

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E-R Model

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Chapter 7: Entity-Relationship Model

Chapter 7: Entity-Relationship Model. Design Process E-R Modeling Constraints E-R Diagram Weak Entity Sets Extended E-R Features Design Issues Reduction to Relation Schemas ? UML. Overview of the Database Design Process. Characterize the data needs of the database users.

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Chapter 2: Entity-Relationship Model

Chapter 2: Entity-Relationship Model. Entity Sets Relationship Sets Design Issues Mapping Constraints Keys E-R Diagram Extended E-R Features Design of an E-R Database Schema Reduction of an E-R Schema to Tables. Entity Sets. A database can be modeled as: a collection of entities,

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MIS 335 - Database Systems Entity-Relationship Model

MIS 335 - Database Systems Entity-Relationship Model. Ahmet Onur Durahim. http://www.mis.boun.edu.tr/durahim/. Learning Objectives. Database Design Main concepts in the ER model? ER Diagrams. Database Design and ER Diagrams.

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Entity-Relationship Model

Entity-Relationship Model. Outline. Entity Sets Relationship Sets Design Issues Mapping Constraints Keys E-R Diagram Extended E-R Features Design of an E-R Database Schema Reduction of an E-R Schema to Tables. Entity Sets.

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Database Management System (DBMS)

Database Management System (DBMS). Collection of interrelated data Set of programs to access the data DBMS contains information about a particular enterprise DBMS provides an environment that is both convenient and efficient to use. Database Applications: Banking: all transactions

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Introduction to Database Management Systems

Introduction to Database Management Systems. Dr. Adam Anthony Fall 2012. Lecture Overview. Database Design Process Introduction to Entities and Relationships Practice Exercise. Design Phases. Data Needs Assessment Talk to experts, users about what data should be stored Modeling Phase

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Resolving Structural Conflicts in the Integration of XML Schemas: A Semantic Approach

Resolving Structural Conflicts in the Integration of XML Schemas: A Semantic Approach. Xia Yang Mong Li Lee Tok Wang Ling National University of Singapore. Outline. Introduction Background Preliminaries Motivating Example Integration Algorithm Related work Conclusion. Introduction.

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Chapter 7: Entity-Relationship Model

Chapter 7: Entity-Relationship Model. Entity Sets instructor and student. instructor_ID instructor_name student-ID student_name. Relationship Set advisor. Relationship Sets (Cont.). An attribute can also be property of a relationship set.

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??? ??????

??? ??????. ???? ?????? (Entity Relationship Model ? E-R Model) ????????????????????????????? (Objects) ???? (Entities) ?????????????????? (Relationship) ????????????????????????????????????????????????????????????????????. ????. 1-1 ??. 1-4 ???. 1-2 ??. 1-5 ?????. 1-3 ??.

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Overview of core undergraduate material

Overview of core undergraduate material. Outline. Overview of Levels of abstraction notions of independence E-R model Relational model SQL structure of Database Management Systems. Levels of Abstraction. Physical level describes how a record is stored. Logical level

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Semantically Conceptualizing and Annotating Tables

Semantically Conceptualizing and Annotating Tables. Stephen Lynn & David W. Embley Data Extraction Research Group Department of Computer Science Brigham Young University. Supported by the. Overview. Context WoK: Web of Knowledge TANGO: Table ANalysis for Generating Ontologies

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Semantically Conceptualizing and Annotating Tables

Semantically Conceptualizing and Annotating Tables. Stephen Lynn & David W. Embley Data Extraction Research Group Department of Computer Science Brigham Young University. Supported by the. Overview. Context WoK: Web of Knowledge TANGO: Table ANalysis for Generating Ontologies

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The Entity-Relationship Model

The Entity-Relationship Model. Chapter 2. Objectives . Overview of database design Requirement analysis, conceptual design , logical design, normalization, and physical design The entity-relationship (ER) model Basic constructs: Entities Relationships

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CMSC424: Database Design

CMSC424: Database Design. Instructor: Amol Deshpande amol@cs.umd.edu. Today . Recap: Relational Model E/R Model to an Relational Model Remember: We still use E/R models for conceptual modeling of the database Relational Algebra Operating on the relations.

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Mini-Ontology Generation from Canonicalized Tables

Mini-Ontology Generation from Canonicalized Tables. Stephen Lynn Data Extraction Research Group Department of Computer Science Brigham Young University. Supported by the. TANGO Overview. TANGO: Table ANalysis for Generating Ontologies Project consists of the following three components:.

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Unit 1 Introduction to DBMS

Unit 1 Introduction to DBMS. Common Terms. Data : collection of interrelated information about world being modeled DBMS : general-purpose software to define, create, modify, retrieve, delete and manipulate a database Goals: Efficient data management (faster than files) Large amount of data

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