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Electronic records, also often referred to as digital records, are those records that are generated with and used by information technology devices. Classification of records is achieved through the design, maintenance, and application of taxonomies , which allow records managers to perform functions such as the categorization, tagging ...
The concept of records and fields was central in some early file sorting and tabulating utilities, such as IBM's Report Program Generator (RPG). COBOL was the first widespread programming language to support record types, [10] and its record definition facilities were quite sophisticated at the time. The language allows for the definition of ...
A system of record (SOR) or source system of record (SSoR) is a data management term for an information storage system (commonly implemented on a computer system running a database management system) that is the authoritative data source for a given data element or piece of information, like for example a row (or record) in a table.
A cleanroom or clean room is an engineered space that maintains a very low concentration of airborne particulates. It is well isolated, well controlled from contamination , and actively cleansed. Such rooms are commonly needed for scientific research and in industrial production for all nanoscale processes, such as semiconductor manufacturing.
The cleanroom software engineering process is a software development process intended to produce software with a certifiable level of reliability. The central principles are software development based on formal methods, incremental implementation under statistical quality control, and statistically sound testing.
This process is often called logical database design, and the output is a logical data model expressed in the form of a schema. Whereas the conceptual data model is (in theory at least) independent of the choice of database technology, the logical data model will be expressed in terms of a particular database model supported by the chosen DBMS.
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In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.