STSCI 5065

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM EDT

STSCI 5065
Big Data Management and Analysis

Course information provided by the 2025-2026 Catalog.

Concepts, challenges, and industry trends of big data, with a focus on the Hadoop system. Topics include: basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); MapReduce or its alternative, a parallel programming model for distributed processing of large data sets; common big data tools, such as Pig (a procedural data processing language for Hadoop parallel computation), Hive (a declarative SQL-like language to handle Hadoop jobs), HBase (the most popular NoSQL database), and YARN; case studies; and integration of Hadoop with statistical software packages, e.g., SAS and R.


Prerequisites knowledge of a general purpose computer programming language, such as JAVA, Python, Ruby, or C++, or at least taking STSCI 4060 in parallel with this course; STSCI 5060 or basic SQL knowledge; STSCI 5010 or basic knowledge of SAS programming; STSCI 4520 or STSCI 4030 or basic knowledge of R programming.

Enrollment Priority Enrollment preference given to: MPS Applied Statistics students.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  5046 STSCI 5065   LEC 001

  •  
    • MWF
    • Jan 20 - May 5, 2026

    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/