ITC 495 - Advanced Data Management and Integration

Credit Hours: 3
The study of advanced data design, integration, management, optimization and dissemination from the perspective of the data manager is essential for students pursuing degrees in Data Analytics, IT Infrastructure, and Application Development. This course provides an in-depth exploration of data quality, data cleansing, and data integration optimization. Particular attention will be given to Extract, Transformation, and Load (ETL) processes, with a focus on ensuring efficient and seamless data flow. Through hands-on practice, students will become familiar with advanced data architectures and integration modeling designs, equipping them with best practices to ensure data integrity and quality in their respective fields.

Prerequisite: ITC 295; and undergraduate business majors must be admitted to degree program.
Lecture contact hours: 3

Typically offered: Demand