Data warehouse general definition

  • What is the general architecture of a data warehouse?

    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..

  • Data warehouse features are mainly integrated, time-variant, subject-oriented, non-volatile, Data Integration and Transformation, and Centralized Repository.
A data warehouse (DW) is a digital storage system that connects and harmonizes large amounts of data from many different sources. Its purpose is to feed business intelligence (BI), reporting, and analytics, and support regulatory requirements – so companies can turn their data into insight and make smart, data-driven decisions.

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.

A data warehouse is a centralized repository that stores structured data (database tables, Excel sheets) and semi-structured data (XML files, webpages) for the purposes of reporting and analysis.A data warehouse, or enterprise data warehouse (EDW), is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence (AI), and machine learning.A "data warehouse" is a repository of historical data that is organized by the subject to support decision-makers in the organization. Once data is stored in a data mart or warehouse, it can be accessed.

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