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- Data warehouses are characterized by being1234:
- Subject-oriented: A data warehouse typically provides information on a topic (such as a sales inventory or supply chain) rather than company operations.
- Time-variant: Time variant keys (e.g., for the date, month, time) are typically present.
- Integrated: A data warehouse combines data from various sources.
- Persistent and non-volatile: Prior data isn’t deleted when new data is added.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Data warehouses are characterized by being:
- Subject-oriented: A data warehouse typically provides information on a topic (such as a sales inventory or supply chain) rather than company operations.
www.factioninc.com/resources/newsroom/4-charac…According to this definition, data warehouses are Subject-oriented. They can analyze data about a particular subject or functional area (such as sales). Integrated. Data warehouses create consistency among different data types from disparate sources. Nonvolatile. Once data is in a data warehouse, it’s stable and doesn’t change. Time-variant.www.oracle.com/database/what-is-a-data-warehou…A data warehouse is a powerful tool that allows organizations to store, manage, and analyze large amounts of data. It has several key characteristics, such as being integrated, subject-oriented, non-volatile, and time-variant, that make it well-suited for data analysis and decision-making.www.tutorialspoint.com/characteristics-and-functio…Characteristics of Data Warehouse
- Subject-Oriented A data warehouse target on the modeling and analysis of data for decision-makers. ...
www.javatpoint.com/data-warehouseA typical data warehouse has four main components: a central database, ETL tools, metadata and access tools. All of these components are engineered for speed so that you can get results quickly and analyze data on the fly.www.ibm.com/topics/data-warehouse - People also ask
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