The data lifecycle is the sequence of stages data goes through, from its creation to its eventual disposal, encompassing the entire lifespan of data within an organization or system. Data lifecycle management (DLM), in turn, is the proper administration of this lifecycle. While each piece of...
Data lifecycle management (DLM) is a policy-based approach to managing the flow of an information system's data throughout its lifecycle: from creation and initial storage to when it becomes obsolete and is deleted. DLM products automate lifecycle management processes. They typically organizedatainto...
A Brief History of Data Lifecycle Management Technologies for storing data have been around for longer than many would guess. Nearly in parallel with the adoption of these technologies was growth in data volume and as a result, the management of that data throughout its lifecycle. Here is a q...
Definition of DLM Data Lifecycle Management (DLM) is a policy-based approach of best practices to oversee the flow of an information system's data through its lifecycle, from creation to deletion. It includes stages such as storage, backup, archiving, and disposal and is employed by organization...
aData Lifecycle Management (DLM) starts with definition and documentation of all the business processes associated with corporate functions and business applications. 数据生命周期管理(DLM)开始与所有业务流程的定义和文献与公司作用和商业应用相关。[translate]...
Information lifecycle management is even more nuanced. It seeks to answer:is this information relevant and accurate? In a way, DLM and ILM are two sides of the same coin. But you can’t have an effective ILM strategy without implementing a strong system for data management or DLM. ...
Data Lifecycle Management (DLM) helps businesses turn big data from a risky, highly-regulated, critical mass of numbers into a powerful tool to drive growth.
Data is versatile, so businesses are free to create management policies tailored to their needs. Alternative data management types are less common, but many businesses add these to their data management mix for a more holistic approach: Data lifecycle management.Every snippet of data goes through ...
Lifecycle management rule definitionEach rule definition within a policy includes a filter set and an action set. The filter set limits rule actions to a certain set of objects within a container or objects names. The action set applies the tier or delete actions to the filtered set of ...
Figure 1. Database Lifecycle Management scenarios and tasks for Microsoft SQL Server and Windows Azure SQL Database.Database Lifecycle Management Tools and ScenariosUse the links in the following tables to view documentation and video presentations about database lifecycle management.SQL Server Data ...