Big Data Technologies
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Overview
Description
The explosion of data collection and aggregation technologies has given rise to data-intensive problems. This course will give students an overview of the big data technologies that will help efficiently store, extract, and process very large datasets. Students will learn key data analysis and management techniques, includingcritical concepts such as Distributed File Systems (storage concepts) and MapReduce/Spark (processing concepts) that power modern big data technologies. In addition, the course will also show how big data technologies can also be used toeffectively analyze large volumes of data.
Career
Graduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
30
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3