Apr 23, 2018  
Graduate Catalog 2017-2018 
    
Graduate Catalog 2017-2018
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INFS 774 - Big Data Analytics

3 credits
This course provides a broad understanding of the principles underlying Big Data analytics and its applications in different domains using a hands-on approach with a state-of-the-art Big Data platform.  It provides a combination of essential business and technical skills related to Big Data analytics.  It provides a combination of essential business and technical skills related to Big Data analytics.  Business aspects of the course emphasized included (a) understanding the scope and role of Big Data in today’s organizations, (b) representative example scenarios and case studies of industry specific applications highlighting Big Data issues - volume, variety, velocity, and veracity, (c) when to consider a Big Data Solution, (d) the integration of Big Data initiatives as part of the overall business strategy to achieve “return to data” and competitive differentiation, and information governance issues.  Technical aspects of the course emphasized include (a) life cycle of a Big Data analytics solution with multiple entry points, b) essential components of a Big Data solution and technology platform, (c) key features of Hadoop and related technologies (e.g., MapReduce, HDFS, NoSQL), (d) performing analytics with predictive models, text analytics, and streaming data, and (e) data visualization and communication of analytical findings.  State-of-the-art tools are integrated throughout the course to provide hands-on exercises with relevant techniques.



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