Define what a data warehouse is and explain its primary functions and advantages in the context of business intelligence.

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A: Allow me to paint a vivid picture for you: imagine a constellation in the night sky, a central star…

Q: How may an expert system be built using a data warehouse?

A: Expert Systems is a branch of artificial intelligence that simulates the judgment and behavior of a…

Q: What is data warehousing, and how does its functionality differ from that of a data warehouse?

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Q: Explain the concept of data marts and their relationship to a data warehouse. What are the…

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Q: Define the basic components of a data warehouse, including data sources, ETL processes, data…

A: A data warehouse is a centralized repository that stores, integrates, and manages large volumes of…

Q: Define data warehousing and its importance in the world of business intelligence. Describe the key…

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Q: Differences between OLTP and data warehouses. Analyse the key benefits and drawbacks of data…

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Q: What is a data warehouse? What is the purpose of a data warehouse, and how is it used?

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Q: What is data that of a data warehouse? warehousing, and how does its functionality differ from

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Q: This section will define business intelligence and its relationship to database technology.

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Q: Examine data system technology-data integration issues.

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Q: Define the key components of a data warehouse architecture, including data sources, ETL processes,…

A: Data warehouse architecture is a framework that lays out the organization and storage of data to…

Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.