Speaker "Ravikant Iyer" Details Back



Time-To-Value In Big Data Deployments


Enterprises working to take advantage of Big Data technologies frequently become distracted by product- level decisions: What hardware, which distribution, who will build and run the environment? In most new Big-Data builds, this approach is counter-productive: It presupposes tools that may not be a fit for development teams; it forces IT to take on the burden of evaluating and maintaining a new and unfamiliar technology; and, most importantly, it represents an up-front expense that requires new “Big Data” initiatives to show value from a position of up-front capital and operational debt. In this session, Ravi Iyer will discuss how to enhance time-to-value in Big Data deployments.


Ravikant Iyer, Director of Engineering, Virtualization Ravi has over 25 years of industry experience with the last 15 in the storage industry. He specializes in storage virtualization and software defined storage. At Coho he leads the development of the company's block storage offerings, and integration with VMware and Open Stack components. He also leads the User Interface and Control path efforts. Before Coho he has led various engineering teams at a number of companies, including EMC and Pillar Data.