'Composite attributes' presentation slideshows

Prof. Sin-Min Lee

Final Revision 3. CS 157B Lecture 23. Prof. Sin-Min Lee. Modeling. A database can be modeled as: a collection of entities, relationship among entities. An entity is an object that exists and is distinguishable from other objects. Example: specific person, company, event, plant

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MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management

MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management. Dave Salisbury salisbury@udayton.edu (email) http://www.davesalisbury.com/ (web site). Modeling reality. A database must mirror the real world if it is to answer questions about the real world

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Chapter 6: Logical database design and the relational model

Chapter 6: Logical database design and the relational model. Objectives of logical design. Translate the conceptual design into a logical database design that can be implemented on a chosen DBMS Input: conceptual model (ERD) Output: relational schema, normalized relations

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IS 325 Notes for Monday September 16, 2013

IS 325 Notes for Monday September 16, 2013. INTRODUCTION. Relational database model - logical database model that represents a database as a collection of related tables Relational schema - visual depiction of the relational database model

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Chapter Outline

Chapter Outline. Informal Design Guidelines for Relational Databases Functional Dependencies Normal Forms Based on Primary Keys General Normal Form Definitions (For Multiple Keys) BCNF (Boyce-Codd Normal Form). Informal Design Guidelines for Relational Databases - 1.

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Mapping from Data Model (ERD) to Relational Model

Mapping from Data Model (ERD) to Relational Model. Yong Choi School of Business CSUB. Objectives of logical design. Transform the conceptual database design into a logical database design that can be implemented on a chosen DBMS later Input: conceptual model (ERD)

493 views • 39 slides

Mapping from Data Model (ERD) to Relational Model

Mapping from Data Model (ERD) to Relational Model. Yong Choi School of Business CSUB. Objectives of logical design. Transform the conceptual database design into a logical database design that can be implemented on a chosen DBMS later Input: conceptual model (ERD)

534 views • 38 slides

Mapping from Data Model (ERD) to Relational Model

Mapping from Data Model (ERD) to Relational Model. Yong Choi School of Business CSUB. Objectives of logical design. Transform the conceptual database design into a logical database design that can be implemented on a chosen DBMS later Input: conceptual model (ERD)

541 views • 38 slides

Mapping from Data Model (ERD) to Relational Model

Mapping from Data Model (ERD) to Relational Model. Yong Choi School of Business CSUB. Objectives of logical design. Translate the conceptual database design into a logical database design that can be implemented on a chosen DBMS later Input: conceptual model (ERD)

604 views • 37 slides

Mapping from E-R Model to Relational Model

Mapping from E-R Model to Relational Model. Yong Choi School of Business CSUB. Objectives of logical design. Translate the conceptual design into a logical database design that can be implemented on a chosen DBMS later Input: conceptual model (ERD)

1.53k views • 36 slides

Functional Dependencies and Normalization for Relational Databases

Functional Dependencies and Normalization for Relational Databases. Dr. Ali Obaidi CS-450 Fall 2002 . Informal Design Guidelines for Relational Databases. R elational database design: The grouping of attributes to form "good" relation schemas Two levels of relation schemas:

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Chapter 6: Entity-Relationship Model (part I)

Chapter 6: Entity-Relationship Model (part I). Modeling. A database can be modeled as: a collection of entities, relationship among entities. An entity is an object that exists and is distinguishable from other objects. Example: specific person, company, event, plant

592 views • 31 slides

NORMAL FORMS BASED ON PRIMARY KEYS

NORMAL FORMS BASED ON PRIMARY KEYS. WHAT IS NORMAL FORM?. It is a process of analyzing the given relation schemas based on their FDs and primary keys to achieve the following desirable properties: Minimizing Redundancy Minimizing the Insertion, Deletion, And Update Anomalies

934 views • 30 slides

Design Methodology

Design Methodology. A structured approach that uses procedures, techniques, tools, and documentation aids to support and facilitate the process of design. Three main phases Conceptual database design Understanding client data E-R (EER) Model

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Conversion from ER diagram to relational model

Conversion from ER diagram to relational model. ER is a visual model The relational model is a matemathical model. Database development as part of systems development. Analysis phase Draw an ER-diagram Design phase Convert ER-diagram to relational model.

1.95k views • 10 slides