My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
BUAN 6346 Uri Smashnov | |||||
A- | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
BUAN 6346 Uri Smashnov | |||||
A- | |||||
Uri Smashnov
[email protected]Grades: 424
Median GPA: A-
Mean GPA: 3.405
4
Professor rating
4.3
Difficulty
16
Ratings given
75%
Would take again
Big Data
BUAN 6346
Naveen Jindal School of Management
This course explores big data analytics and cloud computing, focusing on practical applications. Students will be exposed to the uses of cloud platforms and distributed computing frameworks like Hadoop, Hive, Spark, and Databricks for processing large datasets. Through hands-on projects, they gain experience in setting up big data environments, designing scalable data pipelines, implementing real-time analytics, and optimizing queries. The course covers distributed analytics programming, applying machine learning and deep learning to big data, and addresses data governance, security, and cost management in cloud solutions. Students will use leading big-data tools to develop end-to-end analytics processes. 3 credit hours.
Prerequisite: BUAN 6320 or MIS 6320 or MIS 6326.
Offering Frequency: Each semester
Grades: 2,747
Median GPA: A
Mean GPA: 3.699
Click a checkbox to add something to compare.
Uri Smashnov
[email protected]Grades: 424
Median GPA: A-
Mean GPA: 3.405
4
Professor rating
4.3
Difficulty
16
Ratings given
75%
Would take again
Big Data
BUAN 6346
Naveen Jindal School of Management
This course explores big data analytics and cloud computing, focusing on practical applications. Students will be exposed to the uses of cloud platforms and distributed computing frameworks like Hadoop, Hive, Spark, and Databricks for processing large datasets. Through hands-on projects, they gain experience in setting up big data environments, designing scalable data pipelines, implementing real-time analytics, and optimizing queries. The course covers distributed analytics programming, applying machine learning and deep learning to big data, and addresses data governance, security, and cost management in cloud solutions. Students will use leading big-data tools to develop end-to-end analytics processes. 3 credit hours.
Prerequisite: BUAN 6320 or MIS 6320 or MIS 6326.
Offering Frequency: Each semester
Grades: 2,747
Median GPA: A
Mean GPA: 3.699
Click a checkbox to add something to compare.