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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
Data administration or data resource management is an organizational function working in the areas of information systems and computer science that plans, organizes, describes and controls data resources. Data resources are usually stored in databases under a database management system or other software such as electronic spreadsheets.
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.
Training for DBAs with accompanying certifications is widely available, offered by database vendors and third parties. Offerings include: [7] IBM Certified Advanced Database Administrator – DB2 10.1 for Linux, Unix and Windows [8]
The CDO is a member of the executive management team and manager of enterprise-wide data processing and data mining. Recently, countries like Canada, Estonia, France, Spain [1] and the United States have established this position of Chief Data Officer. There are ongoing efforts advocating for this role to be more prevalent within government ...
Product data management is the use of software or other tools to track and control data related to a particular product. The data tracked usually involves the technical specifications of the product, specifications for manufacture and development, and the types of materials that will be required to produce goods.
The data steward may also serve as a liaison between the organization's data users and technical teams, helping to bridge the gap between business needs and technical requirements. They may also play a role in educating others within the organization about best practices for data management, and advocating for data-driven decision-making.
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