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Data-Warehouse-System

A Data Warehouse System is a specialized database designed to collect, store, and organize large volumes of data from various sources for analysis and reporting purposes. Essentially, it gathers and consolidates data in a format useful for analytics and business decision-making.

Key features of Data Warehouse Systems include:

  1. Data Integration: They integrate data from diverse sources such as operational systems, internal databases, external data sources, etc.

  2. Storage of Historical Data: Data Warehouses store not only current data but also historical data over a specific period, enabling analysis of trends and long-term developments.

  3. Structured Data Models: Data is stored in a structured format, usually in tables, to facilitate efficient analysis.

  4. Query and Analysis Capabilities: These systems offer powerful query functions and analysis tools to execute complex queries across large datasets.

  5. Decision Support: They serve as a central source of information used for decision-making and strategic planning in businesses.

Data Warehouse Systems often form the backbone for Business Intelligence (BI) systems, providing a consistent, cleansed, and analyzable data source invaluable for enterprise management. They play a critical role in transforming raw data into actionable insights for businesses.


Created 1 Year ago
Applications Data-Warehouse-System Database Databases Data Integrity Principles Software Strategies

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