DATA WAREHOUSE (4/2 Credits)
Learning Outcomes:
On successful completion of this course, students will be able to: Explain the basic concepts, components and architecture of data warehouse; Explain the advantages of data warehouse utilization; Demonstrate how to design data warehouse; Analyze the strategy of design and implement data warehouse and why data warehouse is the suitable solution that appropriate to the need
Topics:
- Data Warehouse Concepts;
- Data Warehouse Schema;
- A Method for Data Warehouse Design;
- Online Analytical Processing (OLAP);
- Data Pre-processing and Extraction;
- Transformation, and Loading;
- Physical Data Warehouse Design;
- Data Analytics: Exploiting the Data Warehouse;
- Big Data and NoSQL;
- A Method for Data Warehouse Design;
- Data Warehouse Schema;
- Online Analytical Processing (OLAP);
- Data Pre-processing and Extraction;
- Transformation, and Loading;
- Quiz;
- Data Analytics: Exploiting the Data Warehouse;
- Review Materials and Project Collection;
- Conceptual Data Warehouse Design;
- Logical Data Warehouse Design;
- Physical Data Warehouse Design;
- Conceptual Data Warehouse Design;
- Logical Data Warehouse Design;
- New Data Warehouse Technologies;
- Project;
- Project presentation.
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