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Data Warehouse Logical Design from Multidimensional
Conceptual Schemas
Veronika Penalty
Institute de Computacin, Universidad de la Replica.
Julio Herrera y Radio 565, Montevideo, CP 11300.
Uruguay.
Vperalta@fine.edu.UY
Abstract.
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How to fill out data warehouse logical design
How to fill out data warehouse logical design
01
Start by identifying the objectives and goals of your data warehouse.
02
Analyze and understand the existing data sources that will be used in the data warehouse.
03
Create a conceptual data model to represent the high-level structure of the data warehouse.
04
Normalize the conceptual data model to remove redundancies and improve efficiency.
05
Translate the normalized conceptual model into a logical data model using appropriate data modeling techniques.
06
Define the tables, relationships, and attributes in the logical data model.
07
Apply any necessary optimizations and performance considerations to the logical design.
08
Document and communicate the logical design to relevant stakeholders.
Who needs data warehouse logical design?
01
Companies or organizations that deal with large volumes of data.
02
Businesses that require in-depth analysis and reporting on their data.
03
Enterprise-level companies with multiple data sources that need to be integrated.
04
Data-driven industries such as finance, healthcare, retail, and telecommunications.
05
Data analysts, data scientists, and business intelligence professionals.
06
Companies looking to improve decision-making processes and gain competitive advantage through data analytics.
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