Hands-on course discusses emerging technologies for big data analytics and their applications in real-world environments. Students apply learned concepts and best practices using several emerging technology tools simulating development, implementation, and use of big data analytical systems. Topics include RDBMS, SQL, NoSQL, R, MapReduce Programming paradigm, Hadoop, HDFS, HIVE, PIG and others in the Hadoop ecosystem for unstructured data analytics. Offered by Info Sciences & Technology. May not be repeated for credit.
Big Data Essentials
Host University
George Mason University
Semester
Summer 2023
Credits
3
Discipline
Data Science/Analytics
Instructor
Bin Duan
Course Information
Prerequisites
AIT 524, or industry experience with database systems.