DS 3022

Data Engineering

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Course Description

Moves deeper into current best practices around data engineering in industry. Topics will review basic data collection, ingestion, processing, and storage, moving beyond to data governance, security, pipeline orchestration, monitoring and maintenance, optimization, and documentation. Relies heavily on DevOps principles of automation, continuous improvement, and an understanding of the entire software/data lifecycle.


  • Neal Magee

     Rating

     Difficulty

     GPA

     Sections

    2

    Last Taught

    Fall 2025