Grand Canyon University 4 credits Information Technology
This course focuses on data-intensive problems in the context of large sensor networks, simulations, and social networks. Scalable algorithms and data management technologies are examined in detail. Students explore data analysis and management techniques applied to big data sets in distributed environments. Specifically, the course focuses on the map-reduce paradigm, distributed file systems, NoSQL databases, and machine learning methods. Students learn to design highly scalable systems that can analyze massive amounts of data for scientific or social applications. Prerequisite: SYM-408 or CST-217.
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