TransfermaticCOMPSCI at Chaffey College

    COMPSCI 20 - Big Data Analytics

    Recent Professors
    S. Solis
    Recent Semesters
    Spring 2027
    Class Size
    32 students
    Difficulty
    5.6Moderateout of 10
    Credits
    3
    Prerequisite
    Completion with a C or better in: ITIS 80
    Spring 2027 Sections
    View Spring 2027 sections of COMPSCI 20
    Transfers To
    Not transferable
    Description
    Big data analytics describes the process of uncovering trends, patterns, and correlations in large amounts of raw data to help make data-informed decisions. It involves handling massive datasets and processes including data sourcing, storage, querying, analysis, visualization, and updating. Big data systems rely on data mining, distributed storage, resource management, query processing, and fault tolerance. Analytics techniques, including clustering and regression, help uncover patterns and correlations, driving data-informed decision-making.
    Usually Held
    Tue Thu 9:30am–11:05am