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Dimensional Models for Practical Applications Software Development Technologies Master studies, 2nd semester Academic year 2009/10 (winter course) Bibliography R. Kimball, M. Ross: The Data Warehouse
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Dimensional models for practical are used in data warehousing and business intelligence to represent data in a way that is easy to understand and analyze. It organizes data into dimensions and facts to provide insights for decision-making.
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Data architects, data analysts, and other professionals involved in data management are usually responsible for creating and maintaining dimensional models for practical.
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Dimensional models for practical are typically filled out using data modeling tools such as ERwin or PowerDesigner. Data is organized into dimensions (descriptive attributes) and facts (measurable metrics) to create a multidimensional view of the data.
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The purpose of dimensional models for practical is to provide a clear and organized structure for data analysis. It allows users to easily navigate through data to uncover insights and make informed decisions.
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Dimensional models for practical should include dimensions (descriptive attributes) such as time, geography, and product, as well as facts (measurable metrics) such as sales, revenue, and quantity.
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