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  2. Data migration - Wikipedia

    en.wikipedia.org/wiki/Data_migration

    Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. Additionally, the validation of migrated data for completeness and the decommissioning of legacy data storage are considered part of the entire data migration process.

  3. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]

  4. HP CloudSystem - Wikipedia

    en.wikipedia.org/wiki/HP_CloudSystem

    The migration of traditional IT, in which IT directly controls IT purchasing, deployment, management, and use, to a cloud computing model holds a number of challenges. A paper titled "Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS," by researchers at the Cloud Computing Co-laboratory, School of Computer Science, University of St Andrews, raises several socio ...

  5. Enterprise resource planning - Wikipedia

    en.wikipedia.org/wiki/Enterprise_resource_planning

    Data migration is the process of moving, copying, and restructuring data from an existing system to the ERP system. Migration is critical to implementation success and requires significant planning. Unfortunately, since migration is one of the final activities before the production phase, it often receives insufficient attention. The following ...

  6. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...

  7. Data virtualization - Wikipedia

    en.wikipedia.org/wiki/Data_virtualization

    The storage-agnostic Primary Data (defunct, reincarnated as Hammerspace) was a data virtualization platform that enabled applications, servers, and clients to transparently access data while it was migrated between direct-attached, network-attached, private and public cloud storage. [6] Linked Data can use a single hyperlink-based Data Source ...