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Data Facility Storage Management Subsystem [a] (DFSMS) is a central component of IBM's flagship operating system z/OS. It includes access methods, utilities and program management functions. It includes access methods, utilities and program management functions.
It provides storage management software developers and system administrators with an easy-to-use method of accessing Common Information Model (CIM) objects and operations in Web-Based Enterprise Management (WBEM) servers, such as those found in SMI-S and other CIM-based environments. pywbem GitHub Library - A repository of pywbem projects on ...
Storage management usually refers to the management of computer data storage, which includes memory management. It can also refer to specific methods or products for storage management, such as the following ADSTAR Distributed Storage Manager; Automatic Storage Management; Hierarchical storage management; IBM Tivoli Storage Manager
Hierarchical storage management (HSM), also known as tiered storage, [1] is a data storage and data management technique that automatically moves data between high-cost and low-cost storage media. HSM systems exist because high-speed storage devices, such as solid-state drive arrays, are more expensive (per byte stored) than slower devices ...
The most significant differentiator between CSM and HSM solutions is the difference between migration between tiered storage fundamental to HSM and the active storage management fundamental to CSM solutions. Conceptually, HSM solutions are used to age content to less expensive tiers of storage based on static policies examining parameters such ...
The Data Owner is responsible for the requirements for data definition, data quality, data security, etc. as well as for compliance with data governance and data management procedures. The Data Owner should also be funding improvement projects in case of deviations from the requirements. The Data Steward is running the master data management on ...
A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...
Data defined storage explains information about metadata with an emphasis on the content, meaning and value of information over the media, type and location of data. Data-centric management enables organizations to adopt a single, unified approach to managing data across large, distributed locations, which includes the use of content and metadata indexing.