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  2. 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.
    A typical data warehouse has four main components: a central database, ETL tools, metadata and access tools5.
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    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.

    4 Key Characteristics of a Data Wareho…

    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.

    What Is a Data Warehouse | Oracle

    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.

    Characteristics and Functions of Data W…

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    Characteristics of Data Warehouse

    • Subject-Oriented A data warehouse target on the modeling and analysis of data for decision-makers. ...

    What is a Data Warehouse? Tutorial, Ch…

    www.javatpoint.com/data-warehouse
    A 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.

    What is a Data Warehouse? | IBM

    www.ibm.com/topics/data-warehouse
     
  3. People also ask
    What are the characteristics of a data warehouse?The key characteristics of a data warehouse include: 1. Subject-Oriented: Data warehouses are designed to support specific business needs or subject areas, such as sales, finance, or customer management, rather than the operational needs of a particular department or function. 2.

    Data Warehousing: Definition, Types, Process, Components

    trantorinc.com
    What are the different types of data warehouses?Time-variant: Time variant keys (e.g., for the date, month, time) are typically present. Integrated: A data warehouse combines data from various sources. These may include a cloud, relational databases, flat files, structured and semi-structured data, metadata, and master data.

    4 Key Characteristics of a Data Warehouse | Faction Inc

    factioninc.com
    What is a data warehouse?Introduction : A data warehouse is a centralized repository for storing and managing large amounts of data from various sources for analysis and reporting. It is optimized for fast querying and analysis, enabling organizations to make informed decisions by providing a single source of truth for data.

    Characteristics and Functions of Data warehouse - GeeksforGeeks

    geeksforgeeks.org
    What are the components of a data warehouse?A 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. The data warehouse has been around for decades. Born in the 1980s, it addressed the need to optimize analytics on data.

    What is a Data Warehouse? | IBM

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  4. GeeksForGeeks
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    Characteristics and Functions of Data warehouse - GeeksforGeeks

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