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|CS 63017 - BIG DATA MANAGEMENT|
This course will cover a series of important Big-Data-related problems and their solutions. Specifically, we will introduce the characteristics and challenges of the Big Data, state-of-the-art computing paradigm sand platforms (e.g., MapReduce), big data programming tools (e.g., Hadoop and MongoDB), big data extraction and integration, big data storage, scalable indexing for big data, big graph processing, big data stream techniques and algorithms, big probabilistic data management, big data privacy, big data visualizations, and big data applications (e.g., spatial, finance, multimedia, medical, health, and social data).
Prerequisites: Graduate standing.
3.000 Credit hours
3.000 Lecture hours
Schedule Types: Lecture
Computer Science Department
Must be enrolled in one of the following Levels:
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