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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
A data management platform (DMP) is a software platform used for collecting and managing data. DMPs allow businesses to identify audience segments , which can be used to target specific users and contexts in online advertising campaigns.
Software, typically proprietary products or open-source projects, with a primary purpose of data management. Database management system software could be considered a related category, though those will typically exist for the purpose of managing a database in a particular structure (i.e. relational, object-oriented).
Aster Data Systems: Proprietary CA Datacom: Proprietary CA IDMS: Proprietary Clarion: Proprietary ClickHouse: Apache License 2.0 Clustrix: Proprietary CockroachDB: Proprietary CSQL: Proprietary CUBRID: Apache, BSD DataEase: Proprietary DataFlex: Proprietary Dataphor: Proprietary dBase: Proprietary Derby (aka Java DB) Apache License 2.0 Empress ...
A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users.
Toad is a database management toolset from Quest Software for managing relational and non-relational databases using SQL aimed at database developers, database administrators, and data analysts. The Toad toolset runs against Oracle, SQL Server, IBM DB2 (LUW & z/OS), SAP and MySQL. A Toad product for data preparation supports many data platforms.
Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.
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.
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