While helping organizations move workloads into the cloud, Intel has seen a trend emerge. Intel’s Vin Sharma calls this the “virtuous cycle of data-driven innovation,” where data accumulates value as it passes from source through analysis to decision to action, which results in new data to restart the cycle. This cycle demands computing agility and elasticity that only an infrastructure with the essential characteristics of the cloud can deliver.
Here, Sharma answers three top questions organizations ask about big data analytics in the cloud.
Is data mining in the cloud ready for enterprises?
The more important question is whether enterprises are ready for analyzing data in the cloud. Rather than the technology readiness, organizations should evaluate the skills and processes they need in order to take advantage of this infrastructure.
Is my data secure in the cloud?
Enterprises are using sophisticated threat models to establish data protection mechanisms in the cloud, but privacy is as important a concern as security with big data. Fortunately, there are enterprise-ready solutions today that address these concerns and, with organizational discipline and auditable mechanisms, can ensure compliance with regulations.
How do we start the process?
First, identify a use case where data sets can reside in a public cloud. Next, form a small team with the analytical skills to ask the right questions using new data sources and the operational skills to put insights into practice. Finally, develop and test the process and then scale out with help from professional services.