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Product data management (PDM) is the name of a business function within product lifecycle management (PLM) that denotes the management and publication of product data. [1] In software engineering, this is known as version control. The goals of product data management include ensuring all stakeholders share a common understanding, that confusion ...
Physical schema is a term used in data management to describe how data is to be represented and stored (files, indices, et al.) in secondary storage using a particular database management system (DBMS) (e.g., Oracle RDBMS, Sybase SQL Server, etc.).
.pdm (disambiguation) ... in a database management system; Point distribution model, ... (PIM) is the business function often within product lifecycle management (PLM ...
A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.
It supports model-driven architecture software design, and stores models using a variety of file extensions, such as .bpm, .cdm and .pdm. The internal file structure can be either XML or a compressed binary file format. It can also store models in a database repository. The PowerDesigner data modeling tool's market share in 2002 was 39%. [1]
Phase dispersion minimization (PDM) is a data analysis technique that searches for periodic components of a time series data set. It is useful for data sets with gaps, non- sinusoidal variations, poor time coverage or other problems that would make Fourier techniques unusable.
In product data management (PDM) systems every product's work plan is saved which comprises CAD Models, the description of working steps and a list of needed equipment. The detailed description of the equipment takes place in tool management because the PDM system does not offer functions and data fields do describe them in detail.
In modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context. Thus data management has become information management or knowledge management.