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Detailed Course Information

 

Fall 2017 Semester
Nov 20, 2017
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DS 4300 - Large-Scale Information Storage and Retrieval
Introduces data and information storage approaches for structured and unstructured data. Covers how to build large-scale information storage structures using distributed storage facilities. Explores data quality assurance, storage reliability, and challenges of working with very large data volumes. Studies how to model multidimensional data. Implements distributed databases. Considers multitier storage design, storage area networks, and distributed data stores. Applies algorithms, including graph traversal, hashing, and sorting, to complex data storage systems. Considers complexity theory and hardness of large-scale data storage and retrieval. Requires use of nonrelational, document, key-column, key-value, and graph databases and programming in R, Python, and C++.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Data Science Department

Course Attributes:
NUpath Analyzing/Using Data, Computer&Info Sci

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level CS 3200 Minimum Grade of D- and Undergraduate level DS 4100 Minimum Grade of D-

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