dat380 | undergraduate

Advanced Database Architecture

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This course covers Distributed Database Management System (DDBMS) architectures, data structures, schemas and standards, in addition to centralized and client server systems, server system architectures, parallel systems, and distributed systems.

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

    Distributed Database Systems Development, Implementation, and Optimization

    • Determine the best performing and scalable hardware and storage architectures of a distributed database system.
    • Determine the most effective distributed database operation and recovery strategies.
    • Evaluate distributed database operation and recovery strategies.
    • Demonstrate the appropriate use of data replication.
    • Determine the memory and processing component needs of a distributed database system.

    Business Reporting and Data Analytics

    • Model how data warehousing works within a distributed database system environment.
    • Describe the interactions of Online Analytical Processing (OLAP) and data mining with business intelligence applications.
    • Execute Structured Query Language (SQL) scripts to a distributed database.
    • Create a distributed database to support defined business needs and requirements.

    Managing Distributed and Object-Oriented Databases

    • Recommend a management plan for a new Distributed Database Management System (DDBMS).
    • Evaluate business requirements for storage, retrieval, and security for advanced DDBMS.
    • Incorporate current and emerging security, legal, and ethical trends into database architectures management.

    Distributed Database Management Systems (DDBMS)

    • Discuss database systems, including architecture types, data languages, and data models.
    • Evaluate different types of distributed database management system architectures in relation to business needs and data types.
    • Diagram and explain conceptual, logical, and physical database designs.
    • Develop data models for distributed database architecture.

    Object-Oriented Database Systems

    • Describe object-oriented database system architecture.
    • Develop data models for object-oriented database systems.
    • Evaluate advanced database architectures.
    • Build database table structures in Structured Query Language (SQL) for Distributed Database Management Systems (DDBMS).
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