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| 02/03 - 05/18 | ||||||
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5:45 pm |
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Subject: Software Eng (Grad) (SEIS)
CRN: 22457
Lecture
St Paul: O'Shaughnessy Science Hall 333
Requirements Met:
Software Data Mgmt Conc
Software Technical Elective
In order to build and maintain a successful data warehouse, it is important to understand all of its components and how they fit together. This course will cover data warehouse and data mart lifecycle phases while focusing on infrastructure, design, and management issues. The course project will provide an opportunity to for hands-on experience with some of the available tools and technologies. Topics include: differences between data warehouses and traditional database systems (OLTP), multidimensional analysis and design, building data warehouses using "cube" vs. RDBMS (Star schema, etc.), planning for data warehouses, extraction transformation and loading (ETL), online analytical processing (OLAP), data mining, quality and cleansing, common pitfalls to avoid when designing, implementing and maintaining data warehouse environments, and the impact of new technologies (data webhouse, clickstream, XML). Prerequisite: SEIS630
3 Credits