CMM 531 Data Warehousing

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The course CMM 531 Data Warehousing mainly studied about the data collection, data cleansing, data sorting, data integration, data fusion and data virtualization, along with the concepts and benefits associated with data warehouses. The course is quite wide and encompasses numerous topics, such as, Regular storage of spatio-temporal data; Data warehouse architecture; Data warehouse design; Data warehouse tools and many more.

Key concepts were presented and explained through lectures and guided reading. Understanding students were tested using interactive tutorials, and their abilities were further improved. In the laboratory, students will complete this series of exercises to deepen your understanding and gain hands-on experience with data warehouse services.

Upon completion of the CMM 531 Data Warehousing section, students are expected to:

• Define and explain the basic concepts and key components of a data warehouse.
• Describe, analyze, and apply the techniques used to design data warehouses.
• Explain and analyze the key technologies for data warehouse and OLAP applications.
• Design, implement and evaluate data warehouse applications.

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