CIS- 68B - Big Data Fundamentals

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    Recent Semesters
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    Class Size
    Not published
    Credits
    3
    Prerequisite
    MATH 70A, MATH 70B, CIS 61
    Transfers To
    CSU
    Description
    Description: Gain insights on how Big Data is used in organizations for predictive and behavior analytics. Explores characteristics of Big Data: Volume, Variety, Velocity. Provides methods and approaches in sourcing, capturing, storing, analyzing, searching, querying, visualizing, updating data. Use analytic tools and frameworks, such as Hadoop and Spark for data mining, processing, scaling and reporting for business intelligence. Design algorithms and perform predictive modeling using real-world datasets. 54.00 hours lecture and 18.00 hours laboratory. (Letter grade or Pass/No Pass option)