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Introduction to Big Data Management and Analytics for non CS-Majors
CS 6307
Erik Jonsson School of Engineering and Computer Science
Database fundamentals including Query Processing, Parallel/Distributed Data Processing, NoSQL systems (e.g., Key-value stores, Column-oriented data stores, MapReduce), Graph Processing, and Recommendation Systems using Big Data technologies. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Prerequisites: (CS 5303 or equivalent) and (CS 5343 or equivalent).
Offering Frequency: Each year
Grades: 185
Median GPA: A
Mean GPA: 3.875
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Introduction to Big Data Management and Analytics for non CS-Majors
CS 6307
Erik Jonsson School of Engineering and Computer Science
Database fundamentals including Query Processing, Parallel/Distributed Data Processing, NoSQL systems (e.g., Key-value stores, Column-oriented data stores, MapReduce), Graph Processing, and Recommendation Systems using Big Data technologies. May not be used to satisfy degree requirements for the MS CS or the MS SE degree plans. 3 credit hours.
Prerequisites: (CS 5303 or equivalent) and (CS 5343 or equivalent).
Offering Frequency: Each year
Grades: 185
Median GPA: A
Mean GPA: 3.875
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