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Viewing: ISTM 6212 : Data Management for Analytics

Last approved: Mon, 16 May 2016 08:50:27 GMT

Last edit: Thu, 31 Mar 2016 15:25:06 GMT

Programs referencing this course
School of Business
Information SystemsTechnology Management (ISTM)
ISTM
6212
Data Management for Analytics
Data Management for Analytics
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No

Corequisites

25
Lead Instructor: Dr. YoungKi Park
Secondary Instructor: Mr. Daniel Chudnov
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Relational databases, data warehousing, and dimensional modeling. Practical experience with these and other traditional and contemporary methods for managing and analyzing data at scale, including Unix command line and Apache Spark.
1. Develop practical experience implementing and working with relational databases, data modeling, and dimensional modeling for data warehouses 2. Gain skill in wrangling and exploring data with a variety of tools inside and outside of databases 3. Understand and be able to develop and deliver reproducible data analyses

Course Attribute


Key: 10386