IE 6750 — Data Warehousing and Integration
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional
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.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2024 | 3 | 70 | 580 | 12% | 170.0 |
| Spring 2025 | 1 | 11 | 35 | 31% | 24.0 |
| Fall 2025 | 2 | 85 | 540 | 16% | 227.5 |
| Spring 2026 | 1 | 12 | 40 | 30% | 28.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 17% · W 0% · Th 37% · F 0%
Common patterns: async (46% of sections), R (37% of sections), T (17% of sections) — in patterns, R means Thursday
Professors
Fall
- Venkataraman Krishnamurthy (100% of students) · reviews
Spring
- Venkataraman Krishnamurthy (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (IE course descriptions) · Student reviews on RateMyHusky · All IE courses · Plan it at numap.app