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Table of Contents minLevel 2
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Course Description
In-depth analysis of Analyze relational and non-relational databases and corresponding database management system architecture, building architectures. Learn to build complex database objects , database applications using forms and reports, data warehouses, establishing and implementing database security, and tuning databases for optimum performanceto support a variety of needs from big data and traditional perspectives. Data systems performance, scalability, security.
Credit(s)
3.0
Pre–requisite
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Professor of Record
Michael Fudge
Audience
Graduate Students
Learning Objectives
After taking this course, the students will be able to:
- Demonstrate comprehension of advanced issues with the relational database model such as transactions, performance, and security as to understand the need for other database models.
- Explain the CAP theorem and describe how any given database system’s architecture fits within the CAP context.
- Compare different database models such as document, key-value, column-family, streaming, graph and relational.
- Identify the most suitable database systems for a specific application’s data storage requirements.
- Evaluate relational, Hadoop, and noSQL database tooling as to understand their underlying similarities and necessary differences.
Course Syllabus
IST 769 Fall 2020 (2U) Advanced Big Data Management Syllabus
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