CS 462 - Big Data Systems

5 CR

This introductory course on Big Data Systems offers an exploration of big data technologies, storage, and processing frameworks. It covers data analysis, visualization, and the ethical aspects of big data. Through practical case studies, students learn to work with large-scale data.

Prerequisite(s): CS 300 with C or above

Course Outcomes

Describe the fundamental concepts and characteristics of big data.
Explain the functionalities of key big data technologies and tools such as Hadoop, Spark, and NoSQL databases.
Demonstrate the use of various data storage solutions and processing methods for handling large datasets.
Critically analyze big data using appropriate analytical tools and draw insights through data visualization techniques.
Assess the ethical, privacy, and security challenges in big data, proposing solutions and best practices.
Design and develop practical big data applications, showcasing the impact on decision-making and innovation in different industry contexts.

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