dbm380 | undergraduate

Database Concepts

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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.

This undergraduate-level course is 5 weeks This course is available to take individually or To enroll, speak with an Enrollment Representative.

Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 5 weeks

topic title goes here

    Relational Database Implementation: Creating and Populating Relational Tables

    • Create a multi-table relational database in a relational database management system (RDBMS) such as Microsoft® Access® using Structured Query Language (SQL) statements.
    • Create relational tables within a relational database that correspond to a normalized entity-relationship diagram.
    • Populate relational tables with data using SQL statements.

    Relational Database Use: Querying and Updating Relational Tables

    • Select data from related tables using SQL statements.
    • Update data in related tables using SQL statements.

    Relational Database Administration: Backing Up and Securing Relational Data

    • Summarize the importance of backing up relational data.
    • Evaluate at least three approaches to securing relational data.

    Introduction to the Relational Database Model and Other Database Models

    • Explain the purpose and utility of a database.
    • Identify the database model most commonly used in business today.
    • Distinguish between several commercial relational database management systems.

    Relational Database Design: Entity-Relationship Diagrams and Normalization

    • Explain the purpose of an entity-relationship diagram.
    • Create an entity-relationship diagram for a given business scenario.
    • Explain the purpose of normalization with respect to a relational data model.
    • Given an entity-relationship diagram depicting a non-normalized relational data model, normalize the data model.
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