Building an analytics infrastructure around big data

The right big data infrastructure comes down to asking the right kinds of questions, and developing a suite of analytics reports that carry back business intelligence on both historical and real time levels.
Enterprises have been hard at work defining what their IT investments in big data and big data equipment are going to be. In many cases, they are making longer term decisions to consolidate any big data processing now being carried out in individual company departments into a central data center where IT can take charge of scheduling big data jobs and ensuring that clusters of big data servers are being optimized to best advantage.
The good news from this is that organizations are making headway with the task of mapping out a physical infrastructure for their big data processing workloads.

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