This text on data warehouse engineering takes readers from the planning and modelling stages right through to the implementation. It includes chapters on how to convert data from a legacy system to a modern data warehouse.
Data Warehousing Engineering Summary
Data Warehousing Engineering by Clive Finklestein
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Table of Contents
Part 1 Data warehousing concepts (defining business needs): data, warehouse and engineering concepts; strategic business planning; data mapping - a window into the enterprise; strategic modelling - a map for the future; decision early warning - a common need. Part 2 Data quality and legacy systems: the importance of legacy system metadata; defining required legacy system metadata requirements; deriving legacy system metadata; determining relevant data quality attributes; data quality engineering. Part 3 Engineering the data warehouse: moving the past into the future; data warehousing as a reengineering technology; implementing organizational data quality initiatives; continuous data quality engineering; future data warehouse directions.
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