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Data Warehousing Course Description and Prerequisites: This class will introduce the student to concepts needed for successfully designing, building and implementing a data warehouse. The class will provide the technological and managerial knowledge base for data modeling approaches such as the star schema and database de-normalization issues. Topics such as loading the warehouse, performance considerations, and other concepts unique to the data warehouse environment will be discussed and demonstrated in detail. This course will include a laboratory component. Experience with relational databases and familiarity with basic programming concepts and SQL are required Course Outline:
Information to the Corporate Information Factory, The Data wareouse component, The external world component Multidimensional Model, Data wareouse requirements, Basic dimensional modeling techniques Star and snowflake schemas, Extended dimension table designs, Extended fact table designs Data warehouse management, Data warehouse bus architecture matrix, Managing the dimensional project Aggregation goals and risks, Aggregation developement, Aggregation navigation Standards, Indexing and Physical storage structure Operational Data Store, Data Staging and ETL Strategies The application component, Decision support Developement and maintanence process, The business dimensional lifecycle, Data warehouse project management and data warehouse processes Back room Functions and Architecture, Data storage, Managing the corporate information factory, Enterprise framework Metadata repositories, security, Data warehouse infrastructure and environment security, Data warehouse metadata
Data Warehousing Information & Registration: To register or for additional information contact us by phone or email Chicago or Wheaton 630-682-6035 reif@iit.edu |
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