Oct 25, 2024  
2024-2025 Undergraduate Catalog 
    
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2024-2025 Undergraduate Catalog
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MIS 756 - Business Data Pipelines

Credits: 3

Implementation and management of extract, transform, load (ETL) processing and automation from a business perspective. Topics include design of data migration approaches, data cleaning techniques, and technologies used to move and distribute data between various database types including relational, non-relational, on-site and cloud. SQL, NoSQL and other technologies provide context and hands-on practice in data pipelines implementation and management.

Repeat for Credit
N

Requisites
Prerequisite: MANGT 366 or MIS 366, an equivalent introductory computing course, or permission of instructor.

Typically Offered
On sufficient demand

K-State 8
Empirical and Quantitative Reasoning


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