Explain the concept of data marts and their relationship with a centralized data warehouse. How are they designed and used in business intelligence?
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Explain the concept of data marts and their relationship with a centralized data warehouse. How are they designed and used in business intelligence?
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- Explain the concept of data marts and their relationship with a centralized data warehouse. How are they designed and used in business intelligence?Explain the concept of data marts within the context of a data warehouse. What are their benefits, and how do they differ from the central data warehouse?Explain the concept of data mart within a data warehousing environment. How does it differ from a data warehouse, and what are the specific use cases where data marts play a crucial role in business intelligence?
- What are the challenges associated with data quality in a data warehouse, and how can they be addressed?Explain the concept of data warehousing and its role in business intelligence. What are the key components and benefits of a data warehouse?What are the common challenges in data warehouse implementation, and how can they be addressed?
- Explain the concept of data marts and their relationship to a data warehouse. What are the advantages and disadvantages of using data marts for specific business units or departments?What are the key characteristics of a data warehouse?What are the primary components of a data warehouse architecture, and how do they interact to support business intelligence?