The specialist course CS614, Data Warehousing, delves into the concepts, methods, and tools utilized in the planning, execution, and administration of data warehouses. Students who successfully complete this course will have a thorough understanding of the ideas and procedures related to gathering, storing, and evaluating vast amounts of data for corporate intelligence and decision-making.
An overview of data warehousing architectures and ideas is given at the start of the course. Students gain knowledge of how data warehouses function in business intelligence projects and organizational decision support systems. They discuss the distinctions between data warehouses and operational databases as well as the advantages of combining and centralizing data from various sources into a unified, meaningful repository.
CS614 places a lot of emphasis on data warehouse modeling and design. Students gain knowledge on how to organize data into fact tables and dimension tables using dimensional modeling approaches including star and snowflake schemas. They study the ideas of hierarchies, granularity, and gradually changing dimensions; additionally, they gain knowledge on how to create efficient data models that facilitate reporting and analytical inquiries.
The Extract, Transform, Load (ETL) procedure is also covered in the course. This process entails removing data from source systems, converting it into a standard format, and then loading the data into a data warehouse. Students gain knowledge of ETL methods and tools for loading, transforming, and cleaning data. They examine the difficulties associated with data integration, including problems with data quality, inconsistent formats, and mismatched schemas.
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