What are the key components of a data warehouse?
What are the following parts of the data warehouse definition: structured repository, integrated, subject oriented, enterprise-wide, historical, time-variant, developed for the retrieval of analytical information?
Key Components of a Data Warehouse
Integrated:
Integrated: Data warehouse integrates data from multiple sources into a unified format. This allows for consistent reporting and analysis across different data sources.
Subject Oriented:
Subject Oriented: A data warehouse is subject-oriented, meaning it is designed to focus on specific business areas or subject areas. This allows users to analyze data based on specific subjects or business needs.
Enterprise-wide:
Enterprise-wide: It is designed to support the entire organization and its various departments. This ensures that all departments have access to the same data for decision-making and analysis purposes.
Historical:
Historical: Data warehouse stores historical data over a long period of time, preserving historical records for analysis and reporting. This allows for trend analysis and performance tracking.
Time-variant:
Time-variant: It captures and stores changes to data over time, allowing users to track data changes and analyze trends over time.
Developed for the Retrieval of Analytical Information:
Developed for the Retrieval of Analytical Information: A data warehouse is developed specifically for the retrieval of analytical information, supporting complex queries and analysis. It may include features such as data mining and online analytical processing (OLAP) to facilitate data analysis and reporting.