| NOTAS: | "A step-by-step guide to deploying data warehouses that align tightly with business objectives, designed to assist IT professionals and students in the planning, design, and construction of an enterprise- wide data warehouse. Coverage includes enterprise data modelling approaches, roles and compromises in building the data warehouse, building metadata repositories, and improving data quality. Discusses techniques in data mining, such as genetic algorithms, neural networks, and clustering, and gives advice on planning for scalability. Includes chapter questions and projects." |
