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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MIS 6346 (Overall) | |||||
A | |||||
MIS 6346 Judd Bradbury | |||||
B+ | |||||
MIS 6346 Rami El-Youssef | |||||
A- | |||||
MIS 6346 Gasan Elkhodari | |||||
A | |||||
Not teaching in Spring 2026 | |||||
MIS 6346 Hakki Cankaya | |||||
B+ | |||||
MIS 6346 Brad Ford | |||||
B+ | |||||
MIS 6346 Austin Henslee | |||||
A- | |||||
MIS 6346 Hossein Kamalzadeh | |||||
A- | |||||
MIS 6346 Antonio Paes | |||||
A- | |||||
MIS 6346 Jerry Perez | |||||
A | |||||
MIS 6346 Kashif Saeed | |||||
B+ | |||||
MIS 6346 Waseem Shadid | |||||
A- | |||||
MIS 6346 Uri Smashnov | |||||
B+ | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MIS 6346 (Overall) | |||||
A | |||||
MIS 6346 Judd Bradbury | |||||
B+ | |||||
MIS 6346 Rami El-Youssef | |||||
A- | |||||
MIS 6346 Gasan Elkhodari | |||||
A | |||||
Not teaching in Spring 2026 | |||||
MIS 6346 Hakki Cankaya | |||||
B+ | |||||
MIS 6346 Brad Ford | |||||
B+ | |||||
MIS 6346 Austin Henslee | |||||
A- | |||||
MIS 6346 Hossein Kamalzadeh | |||||
A- | |||||
MIS 6346 Antonio Paes | |||||
A- | |||||
MIS 6346 Jerry Perez | |||||
A | |||||
MIS 6346 Kashif Saeed | |||||
B+ | |||||
MIS 6346 Waseem Shadid | |||||
A- | |||||
MIS 6346 Uri Smashnov | |||||
B+ | |||||
Big Data
MIS 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: 1,779
Median GPA: A
Mean GPA: 3.712
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Big Data
MIS 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: 1,779
Median GPA: A
Mean GPA: 3.712
Click a checkbox to add something to compare.