Search results
Results from the WOW.Com Content Network
Records life cycle management. A difficult challenge for many enterprises is tied to the tracking of records through their entire information life cycle so that it's clear, at all times, where a record exists or if it still exists at all. The tracking of records through their life cycles allows records management staff to understand when and ...
The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1]
The ISO 15926 is a standard for data integration, sharing, exchange, and hand-over between computer systems.. The title, "Industrial automation systems and integration—Integration of life-cycle data for process plants including oil and gas production facilities", is regarded too narrow by the present ISO 15926 developers.
Records life-cycle in records management refers to the following stages of a records "life span": from its creation to its preservation (in an archives) or disposal. While various models of the records life-cycle exist, they all feature creation or receipt, use, and disposition. [2]
ISO/IEC/IEEE 12207 Systems and software engineering – Software life cycle processes [1] is an international standard for software lifecycle processes. First introduced in 1995, it aims to be a primary standard that defines all the processes required for developing and maintaining software systems, including the outcomes and/or activities of each process.
However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).
A systems development life cycle is composed of distinct work phases that are used by systems engineers and systems developers to deliver information systems.Like anything that is manufactured on an assembly line, an SDLC aims to produce high-quality systems that meet or exceed expectations, based on requirements, by delivering systems within scheduled time frames and cost estimates. [3]
Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle. [1] It is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data.