Call Number | 10909 |
---|---|
Day & Time Location |
S 8:30am-10:00am 317 Hamilton Hall |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Douglas M Scherer |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | This course provides coverage of modern database architecture and how organizations extract, transform, and load data to set the foundation for deep analytics within their organization. Students will develop a broad understanding of cloud-based computing environments such as Amazon’s AWS and Microsoft’s Azure, MapReduce and data parallel applications using Hadoop, noSQL databases such as MongoDB. Students will learn how to develop a strong working knowledge of relational and non-relational databases, structured and unstructured data, as well as scalability and performance issues as they relate to modern applied analytics. Students will cover different types and scales of data and how to apply the best database framework for their organization’s analytic needs. The course will provide case studies from industry and students will apply their knowledge to architect real business solutions, not only the optimal architectural framework but the total costs, including hardware, software and human costs, to implement such a solution. |
Web Site | Vergil |
Subterm | 07/03-08/11 (B) |
Department | Technology Management |
Enrollment | 5 students (20 max) as of 8:05PM Friday, May 9, 2025 |
Subject | Technology Management |
Number | PS5400 |
Section | 001 |
Division | School of Professional Studies |
Campus | Morningside |
Note | No class on 07/08. 8/12 will be from 8:30 am to 11:30 am. |
Section key | 20232TMGT5400K001 |