INFO 7255 — Advanced Big-Data Applications and Indexing Techniques
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineLive CastOnline
Studies advanced indexing techniques and algorithms for big-data platforms such as Hadoop and NoSQL databases. Covers big-data design and indexing patterns to organize, aggregate, manipulate, and analyze huge amounts of data beyond human scale. Offers students an opportunity to learn advanced techniques to improve the performance and robustness of the advanced big-data programming models. Additional areas of focus include scalable graph databases, advanced indexing, and full-text searching in graph databases.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 104 | 139 | 75% | 17.5 |
| Spring 2024 | 2 | 137 | 139 | 99% | 1.0 |
| Fall 2024 | 2 | 116 | 139 | 83% | 11.5 |
| Spring 2025 | 1 | 87 | 99 | 88% | 12.0 |
| Fall 2025 | 1 | 49 | 99 | 49% | 50.0 |
| Spring 2026 | 1 | 23 | 50 | 46% | 27.0 |
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 0% · W 0% · Th 0% · F 0%
Common patterns: S (53% of sections), async (47% of sections) — in patterns, R means Thursday
Professors
Fall
- Marwan Sabbouh (100% of students) · reviews
Spring
- Marwan Sabbouh (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (INFO course descriptions) · Student reviews on RateMyHusky · All INFO courses · Plan it at numap.app