dbm460 | undergraduate
Enterprise Database Management Systems
This undergraduate-level course is 5 To enroll, speak with an Enrollment Representative.
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Building Data Warehouses and Handling the Extract, Transform, and Load (ETL) Processes
- Analyze project planning, management, and business requirements of the data warehouse.
- Design the technical architecture for the data warehouse and ETL processes.
- Explain the tradeoffs between an enterprise data warehouse, a data mart, and an operational data store.
Data Mining and Big Data Analytics
- Analyze the use of data mining in an organization.
- Develop a strategy for data mining throughout the customer lifecycle.
- Design the data environment and data mining methodology.
- Analyze the use of Big Data in an organization.
- Investigate data visualization tools and their role in business intelligence.
- Analyze the design considerations for performance dashboards.
Distributive Computing Basic Concepts
- Analyze distributed database partitioning, application clustering, and architecture.
- Explain data distribution and replication strategies.
- Investigate middleware and its application to distributed computing.
Business Intelligence and Data Warehouses
- Examine the data warehouse architecture.
- Explain the characteristics of dimensional modeling in business.
- Describe the characteristics of online analytical processing.
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