| Course ID: | MIST 7770. 1.5 hours. |
| Course Title: | Data Warehouses and Mining |
Course
Description: | Data warehouses or large databases are used to support decision-making applications. Coverage includes concepts, development process, organizational issues, hardware, and software. The focus is on-line analytical processing (OLAP) and data mining to discover relationships in large databases. |
| Oasis Title: | DATA W&M |
| Duplicate Credit: | Not open to students with credit in MGMT 7770 |
| Prerequisite: | Permission of department |
Semester Course
Offered: | Offered every year. |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | After completing this course, students should:
1. understand data warehousing concepts
2. be familiar with data warehouses, data marts,
and operational data stores
3. understand data extraction, transformation, and
loading processes
4. understand relational and multidimensional data
bases
5. be familiar with meta data
6. understand data access tools and applications
7. understand organizational issues |
| Topical Outline: | - Data warehousing concepts
- The benefits of data warehousing
- Data warehouse architectures
- Data extraction, cleansing, transformation, and loading data
quality relational data, multidimensional data, and OLAP real-
time data warehousing End user applications, with an emphasis
on data mining data warehouse governance Hands-on applications
-Case studies of best practices |