IE6750 — Data Warehousing and Integration: Reviews & Ratings

IE6750 (Data Warehousing and Integration) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.

Covers various topics in data engineering in support of decision support systems, data analytics, data mining, machine learning, and artificial intelligence. Studies on-premises data warehouse architecture, dimensional modeling of data warehouses, extract-transform-load integration from source systems to data warehouse, online analytical processing systems, and the evolving world of data quality and data governance. Offers students an opportunity to design, develop, and maintain cloud-based data pipelines. Uses both on-premises and cloud-based platforms to illustrate and implement data engineering techniques using operational and analytical data warehouses.

Last taught
Fall 2026
Credits
4 Hours
Prerequisites
DADS 6400 with a minimum grade of C or IE 6700 with a minimum grade of C-

Data updated October 2026.

View on RateMyHusky