University of South Florida 3 credits ISM
With the advent of social media and IoT (internet of things), the data volume in organizations has increased rapidly in recent years. With the increase in data volume to terabytes and even petabytes, traditional database and analytical techniques are insufficient. In this course, students will learn various big data technologies and how they can be used for data management and data analytics purposes to handle such massive datasets. The first half of the course will focus on big data storage technologies such as No-SQL databases and distributed file systems. The second half of the course will focus on big data computational platforms such as Hadoop map-reduce and Spark. The course will cover in-depth spark programming on the big data platform. Prerequisite: ISM 4212 (min grade C) AND ISM 4641 (min grade C) AND ISM 4541 (min grade C)
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