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INFO 323 Cloud Computing and Big Data 3.0 Credits

Provides overview and insights into technologies, opportunities, and challenges related to cloud computing and big data. Covers concepts of scalable data analysis, predictive modeling, and graph analysis through specific cloud computing platforms. Introduces the components and tools in cloud computing ecosystems associated with big data solutions as well as NoSQL databases. Through hands-on instructions and assignments, students will develop working knowledge of practical tools and strategies of processing massive data sets using the map/reduce framework.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 103 [Min Grade: D] and INFO 210 [Min Grade: D] and INFO 212 [Min Grade: D]

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