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College Data System: Best Practices for Information Management

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Added on  2023-06-04

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This paper discusses the best practices for managing information in a college department through the use of a database. It covers business rules, data models, and database models. The purpose of the database is to minimize data redundancy, enforce data integrity, allow sharing of data, restrict unauthorized access, and ensure backup and recovery. The entities and attributes discussed include department, course, lecturer, and student. The paper also covers the rules impacting the database structure and the different types of database models.

College Data System: Best Practices for Information Management

   Added on 2023-06-04

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College Data System 1
College Data System
Student’s Name
Professor’s Name
Date
Institution
College Data System: Best Practices for Information Management_1
College Data System 2
Abstract
Information in any given department needs to be well managed. This functionality can be
achieved through the use of a database. Many data forms can be classified from a wide range and
can be easily stored in a database together with the possible means and ways in which they all
relate together. Individual elements are considered to be the objects within the database and they
help in tasks ranging from collecting them recovering and the functionality of managing the
already saved information. For the purpose of decision making, this paper ought to bring forth
the best practice in the utilization of the information frameworks in the management of all data
files concerning the department.
College Data System: Best Practices for Information Management_2
College Data System 3
Table of Contents
Abstract............................................................................................................................................2
1.0 Business Rules and Data Models...............................................................................................4
1.1 Purpose of the database.........................................................................................................4
1.2 Entities and attributes............................................................................................................5
1.3 Rules impacting the database structure..................................................................................6
1.4 Database Models....................................................................................................................6
1.4.1 Conceptual......................................................................................................................7
1.4.2 Physical...........................................................................................................................7
1.4.3 Logical............................................................................................................................8
References........................................................................................................................................9
College Data System: Best Practices for Information Management_3

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