STSCI 5065

Last Updated

  • Schedule of Classes - December 10, 2024 7:37PM EST
  • Course Catalog - December 10, 2024 7:07PM EST

STSCI 5065
Big Data Management and Analysis

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Spring.

Permission Note Enrollment preference given to: MPS Applied Statistics students.
Prerequisites/Corequisites Prerequisite: 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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  7171 STSCI 5065   LEC 001

  •  
    • MWF
    • Jan 21 - May 6, 2025

    • 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/