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Combing Through Massive Data Sets
Public or hybrid deployments can boost analytics for big data with newfound capacity for high-performance capabilities such as preparing data for data mining, scoring data and producing data models. In addition, off-premise environments may be better built to handle unstructured data from Twitter posts or log files and enable more flexible and powerful analytics processing.
The public or private cloud can also provide advantages for prototyping or running proof-of-concept projects for new analytics technologies. Here, the cloud works as the evaluation and benchmarking environment without having to find and customize hardware to install test configurations, MWD reported.