Simplifying Analytics with Big Data as a Service

The integration and implementation of on-premises infrastructure for big data analytics applications can create big challenges for IT organizations. If you’re starting from scratch with bare metal infrastructure, you could be facing a project that will run for months, while business opportunities slip away.

Public cloud alternatives might offer an easier path forward, but that’s not a viable solution for many organizations because of concerns about security, compliance, costs and other issues. But what about the best of both worlds — a quick-to-deploy big data solution that delivers a cloud-like experience coupled with the enterprise-grade security and performance of on-premises infrastructure?

Author: Janet Morss


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