Introduction
Virtualization is a foundational technology applicable to cloud computing and big data implementation. It provides the basis for many platform attributes required to access, store, analyze, and manage the distributed computing components in big data environments. Virtualization — using computer resources to initiate other resources — is valued for its capability to increase IT resource utilization. One primary application of virtualization is server consolidation, which helps organizations improve the utilization of physical servers and potentially save on infrastructure costs. However, the user finds many benefits to virtualization. Companies that initially focused on server virtualization now recognize that it can be applied across IT infrastructure, including software, storage, and networks.
Importance of Virtualization
Solving big data challenges requires the inspection of large volumes of data stores and computing- and data-intensive applications. Therefore, one needs a highly efficient IT environment to support big data. Virtualization provides increased performance to make big data platforms more effective. Although virtualization is not a need for big data analysis, software frameworks used in big data environments are more effective than in virtualized environments. If one needs the big data environment to scale — almost without boundaries — one should virtualize elements of your environment.
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