ODS

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ODS

(Operational Data Store) A database designed for queries on transactional data. An ODS is often an interim or staging area for a data warehouse, but differs in that its contents are updated in the course of business, whereas a data warehouse contains static data. An ODS is designed for performance and numerous queries on small amounts of data such as an account balance. A data warehouse is generally designed for elaborate queries on large amounts of data. See data warehouse.
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Data Hub can augment or complement existing on-premises environments for scenarios such as analyzing new cloud-born data or establishing data marts and operational data stores on existing data synchronized with the cloud.
The operational data store (ODS) is used for tactical decision making, whereas the data warehouse supports strategic decisions.
Datasweep's integrated data management structure, full analytics/reporting capabilities and global operational data stores and analytic data marts help manufacturers acquire the knowledge and insight required to improve operational performance.
The ZLE framework combines leading enterprise application integration (EAI) with operational data store (ODS) technologies.
To facilitate deployment of a quality-driven data warehouse, operational data store or data mart, Trillium provides functionality to root out data held in legacy and other operational systems, and gives the ability to transform the data into critical decision support information for forecasting and planning or responding to new and existing business opportunities.
Operational Data Store mirrors data onto a separate server, giving users higher performance and security, although the performance tests are still being run, according to Peter Grendel, global corporate marketing manager for BW.
Your data warehouse will eventually consist of a collection of data marts, along with a base/staging data store anti where relevant, an operational data store. The data warehouse will change over time as new subject areas are added and existing subject areas are expanded.
An operational data store (ODS) was used to facilitate information integration.
It provides wizards and mapping templates to direct data from many sources into either a data lake (see sidebar on page 31) or an operational data store. The security component helps discover where sensitive data is stored and has mechanisms for protecting it.
is the leading real-time operational data store for Big Data.
For those with advanced data infrastructures, they can choose to leverage an existing operational data store, but the nature of an actuarial, finance, and risk repository is much different from an existing operational data store, and amending the existing operational data store has proven very challenging.

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