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CIS 4130

Big Data Technologies · 3 credits · Fall 2026

Requirements

Prereq: CIS 3120 and [(ZICK/ZKTP stdnt grp and ZK4L/ZK4P stdnt grp: details here, https://bit.ly/4000-level-bus-courses) or ZKDS stdnt grp]

About this course

This course will give students an overview of the big data technologies that will help efficiently store, extract, and process very large datasets. Students will learn key data analysis and management techniques, including critical concepts such as Distributed File Systems (storage concepts) and MapReduce/Spark (processing concepts) that power modern big data technologies. In particular, the course will leverage cloud-based services to manage storage and efficiently process data. Further, the course will also show how big data technologies can also be used to effectively analyze large volumes of data for practical applications.

Seat status as of Sep 28, 10:49 PM ET. Seats change fast, so a class shown as open may be full by now. Watch a full class to be emailed the moment it opens.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

CTRA-LEC Regular
Tue/Thu · 10:45 AM - 12:00 PM
Online-Synchronous / B - Vert 4-120
Jaclyn CohenOnly 2 ratings, too few to rank★ 5.0(2)Difficulty 3.0/5 · 100% would take again
Hybrid SynchronousOpen