Data warehouse architecture what is it

  • What is data warehouse architecture?

    A data warehouse architecture is a method of defining the overall architecture of data communication processing and presentation that exist for end-clients computing within the enterprise.
    Each data warehouse is different, but all are characterized by standard vital components..

  • What is data warehousing architecture?

    A data warehouse architecture is a method of defining the overall architecture of data communication processing and presentation that exist for end-clients computing within the enterprise.
    Each data warehouse is different, but all are characterized by standard vital components..

  • What is the data warehouse architecture?

    A data warehouse architecture consists of three main components: a data warehouse, an analytical framework, and an integration layer.
    The data warehouse is the central repository for all the data.
    The analytical framework is the software that processes the data and organizes it into tables..

  • What is the goal of the data warehouse architecture?

    A data warehouse is the secure electronic storage of information by a business or other organization.
    The goal of a data warehouse is to create a trove of historical data that can be retrieved and analyzed to provide useful insight into the organization's operations..

Data warehouse architecture is an intentional design of data services and subsystems that consolidates disparate data sources into a single repository for business intelligence (BI), AI/ML, and analysis.

The Data Warehouse Architecture can be defined as a structural representation of the concrete functional arrangement based on which a Data Warehouse is constructed that should include all its major pragmatic components, which is typically enclosed with four refined layers, such as the Source layer where all the data from different sources are situated, the Staging layer where the data undergoes ETL processing, the Storage layer...

A data warehouse represents a subject-oriented, integrated, time-variant, and non-volatile structure of data. Focusing on the subject rather than on operations, the DWH integrates data from multiple sources giving the user a single source of information in a consistent format.

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