STSCI 5065
Last Updated
- Schedule of Classes - July 2, 2025 11:52AM EDT
- Course Catalog - March 17, 2025 8:31AM EDT
Classes
STSCI 5065
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.
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/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.
Permission Note Enrollment preference given to: MPS Applied Statistics students.
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
When Offered Spring.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MWF
- Jan 21 - May 6, 2025
Instructors
Yang, X
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Additional Information
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/
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