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Related to data warehouse: data mining
data warehouse[¦dad·ə ′wer‚hau̇s]
A large specialized database, holding perhaps hundreds of terabytes of data.
A database specifically structured for information access and reporting.
(Or corporate data warehouse, CDW) Any system for storing, retrieving and managing large amounts of data. Data warehouse software often includes sophisticated compression and hashing techniques for fast searches, as well as advanced filtering. A data warehouse is often a relational database containing a recent snapshot of corporate data and optimised for searching. Planners and researchers can use this database without worrying about slowing down day-to-day operations of the production database. The latter can be optimised for transaction processing (inserts and updates).
Compare data mart.
Compare data mart.
data warehouseA database designed to support decision making in an organization. Data from the production databases are copied to the data warehouse so that queries can be performed without disturbing the performance or the stability of the production systems.
Data warehouses can become enormous with hundreds of gigabytes of transactions. As a result, subsets, known as "data marts," are often created for just one department or product line.
Updated at the End of a Period
Data warehouses are generally batch updated at the end of the day, week or some period. Its contents are typically historical and static and may also contain numerous summaries.
Operational Data Stores
The data warehouse is structured to support a variety of analyses, including elaborate queries on large amounts of data that can require extensive searching. When databases are set up for queries on daily transactions, they are often called "operational data stores" rather than data warehouses (see ODS). See OLAP, decision support system, EIS and BI software.