STSCI 5065

Last Updated

  • Schedule of Classes - May 19, 2024 7:32PM EDT
  • Course Catalog - May 19, 2024 7:07PM EDT

STSCI 5065
Big Data Management and Analysis

Course information provided by the Courses of Study 2023-2024.

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

  •  9158 STSCI 5065   LEC 001

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  • Instruction Mode: In Person
    Prerequisites: Knowledge of a general purpose computer programming language, such as JAVA, Python, Ruby, or C++, or at least taking STSC 4060 in parallel with this course; STSCI 5060 or basic SQL knowledge; STSCI 5010 or basic knowledge of SAS programming; STSCI 3520 or STSCI 4030 or basic knowledge of R programming. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.