Search results
Results from the WOW.Com Content Network
Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets.
Informatica Inc. is an American software development company founded in 1993. It is headquartered in Redwood City, California . [ 2 ] Its core products include enterprise cloud data management and data integration.
Metadata management goes by the end-to-end process and governance framework for creating, controlling, enhancing, attributing, defining and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes (often to enable the management of content).
MDA—Model-Driven Architecture; MDD/MDSD—Model-Driven (Software) Development; MDF—Main Distribution Frame; MDI—Multiple-Document Interface; MDM—Master Data Management; ME—Microsoft Edge; ME—[Windows] Millennium Edition; MFA—Multi-factor authentication; MFC—Microsoft Foundation Classes; MFT—Master File Table; MFM—Modified ...
An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.
Altibase provides combined (client-side and server-side) sharding architecture transparent to client applications. Apache HBase can shard automatically. [6] Azure SQL Database Elastic Database tools shards to scale out and in the data-tier of an application. [7] ClickHouse, a fast open-source OLAP database management system, shards.
To resolve differences in source and consumer formats and semantics, various abstraction and transformation techniques are used. This concept and software is a subset of data integration and is commonly used within business intelligence, service-oriented architecture data services, cloud computing, enterprise search, and master data management.
One of the architecture techniques is the split between managing transaction data and (master) reference data. Another is splitting data capture systems from data retrieval systems (as done in a data warehouse). Technology drivers These are usually suggested by the completed data architecture and database architecture designs.