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Database Management –

dbm502

(3 credits)

The course focuses on database management systems from a managerial perspective. Emphasis is placed on developing a strategy for managing and organizing corporate data, including data warehousing, to support the business activities of the organization.
This graduate-level course is 6 weeks. This course may be available to take individually or as part of a degree or certificate program. To enroll, speak with an enrollment advisor.
  • Data Architecture

    • Create an entity-relationship diagram that models an organization’s data architecture.
    • Design normalized database tables based on the definitions in an entity-relationship diagram.
  • Data Population, Manipulation, and Retrieval

    • Apply SQL to populate, manipulate, and retrieve data within databases.
    • Retrieve information from databases using applications and reports.
  • Data Warehouses

    • Apply techniques for managing the design, development, and maintenance of large database systems and data warehouses.
    • Analyze how business intelligence and data mining support organizational goals.
  • Data and Database Administration

    • Analyze data quality and integration.
    • Explain database administration and the responsibilities of a database administrator.
    • Analyze the importance of database and information security in an organization.
  • Database Fundamentals

    • Explain the database environment, information management, and development processes.
    • Differentiate among the roles of database development and administration team members.
    • Create a simple database.
  • Making Decisions about Databases and Database Management Systems

    • Evaluate the role of database management systems in IT infrastructure.
    • Evaluate how database management systems support an organization’s business goals, objectives, and needs.
    • Outline the decisions an organization must make in selecting a database and database management tools.
    • Recommend strategies for overcoming limitations of the relational model.
    • Analyze current trends and likely future developments in database models.

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