im300 | undergraduate

Data Organization Architecture

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This course provides an introduction to how data is architected and organized. It discusses the different data models used to store data, it outlines several schemas that drive how data is structured, and provides other database concepts relating to the design and architecture of data.

This undergraduate-level course is 5 To enroll, speak with an Enrollment Representative.

Course details:

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

topic title goes here

    Normalizing the Database

    • Describe how real-world database design often requires the reconciliation of conflicting goals.
    • Demonstrate normalization through the third normal form.
    • Identify the advantages and disadvantages of normalization.
    • Explain how Entity Relationship Diagram (ERD) and Unified Modeling Language (UML) components affect database design and implementation.

    Integrity and Constraints

    • Define referential and entity integrity.
    • Perform data manipulation and data definition commands.
    • Apply SQL aggregate functions.

    Optimizing the Database

    • Select indices to improve performance.
    • Explain the query execution plan reported by a Database Management System (DBMS) engine.
    • Describe query optimizer.

    Data Models

    • Describe how data models have evolved.
    • Distinguish between object-relational systems and standard-relational systems.
    • Distinguish between structured and unstructured data.


    • Identify primary and foreign keys.
    • Document business rules.
    • Describe naming conventions.
    • Describe data dictionaries and the system catalog.
    • Explain why indexing is important.
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