INFO7255 — Advanced Big-Data Applications and Indexing Techniques: Reviews & Ratings

INFO7255 (Advanced Big-Data Applications and Indexing Techniques) course reviews and ratings at Northeastern (NEU). Average rating 1.0/5. Compare professors with RateMyProfessor reviews.

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.

Average rating
1.0/5
Difficulty
4.0/5
Ratings
4
Last taught
Fall 2026
Credits
4 Hours
Prerequisites
CSYE 6220 with a minimum grade of B- or INFO 6205 with a minimum grade of B- or INFO 6250 with a minimum grade of B-

Professors

Data updated October 2026.

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