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・ Operation Zet
・ Operation Zipper
・ Operation Zitronella
・ Operation Épaulard I
・ Operational - Replacement Training Units
・ Operational acceptance testing
・ Operational amplifier
・ Operational amplifier applications
・ Operational auditing
・ Operational availability
・ Operational bill
・ Operational calculus
・ Operational context
・ Operational Control Language
・ Operational conversion unit
Operational data store
・ Operational database
・ Operational definition
・ Operational Detachment Alpha 574
・ Operational display system
・ Operational Distinguishing Device
・ Operational Diving Division (SA Navy)
・ Operational Dress Uniform
・ Operational due diligence
・ Operational due diligence (alternative investments)
・ Operational efficiency
・ Operational Evaluation Unit
・ Operational excellence
・ Operational flight trainer
・ Operational Group


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Operational data store : ウィキペディア英語版
Operational data store
An operational data store (or "ODS") is a database designed to integrate data from multiple sources for additional operations on the data. Unlike a master data store, the data is not passed back to operational systems. It may be passed for further operations and to the data warehouse for reporting.
Because the data originates from multiple sources, the integration often involves cleaning, resolving redundancy and checking against business rules for integrity. An ODS is usually designed to contain low-level or atomic (indivisible) data (such as transactions and prices) with limited history that is captured "real time" or "near real time" as opposed to the much greater volumes of data stored in the data warehouse generally on a less-frequent basis.
==General Use==
The general purpose of an ODS is to integrate data from disparate source systems in a single structure, using data integration technologies like data virtualization, data federation, or extract, transform, and load. This will allow operational access to the data for operational reporting, master data or reference data management.
An ODS is not a replacement or substitute for a data warehouse but in turn could become a source.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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