Data Warehouse
A data warehouse is a central repository in which data is stored from multiple sources and used for decision-making.
Updated: December 4, 2023
A data warehouse is a central repository in which data is stored from multiple sources and used for decision-making. Data is processed and transformed for analysis while supporting business decision-making.
The presence of a data warehouse reduces input and output (I/O) and queries are swiftly delivered to address several user questions simultaneously. Data warehouse solutions are used by organizations to combine data from customer relationship management (CRM) software, marketing automation platforms, enterprise resource planning (ERP) tools, and various other sources. The necessary business intelligence (BI) is provided to make effective decisions.
Enterprise data warehouses, Operational data store (ODS) and data mart are some of the significant components of data warehouses organizations that are used to make sense of data from disparate sources.
Value from vast data can be stored, analyzed, and derived with a data warehouse while retaining it for record-keeping. Data warehouses can improve the awareness or data analysis of company even further. They execute queries more quickly than databases by handling big questions. Data quality can be enhanced as the data collected from various sources is only saved and analyzed in the data warehouse. Data can not be replaced or added on its own. Users can access all historical information whenever needed to extract insights since it is stored.
Subject-oriented, Integrated, Time variant and Nonvolatile are some notable data warehouse characteristics.