Big Insights from Your Big Data using Data Virtualization

With most employees working from home amid today’s COVID-19 outbreak, VPN and remote access to enterprise resources have drastically increased. This is a huge challenge for the IT and security departments as many security experts believe that the current VPN deployments are designed for a small percentage of employees of the organizations and not for the overwhelming number of teleworkers who now need to access them repeatedly throughout the workday.

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.

Current PCI DSS standards require organizations to maintain a secure network, protect cardholder data, implement strong access control measures, maintain a vulnerability management program, create information security policies, and regularly monitor and test networks. Strong internal security policies for on-premise, hybrid, and cloud environments and compliance with these standards help to prevent credit card fraud and data breaches while increasing trust between you and your customers.

In this on-demand webinar, C. M. Venkateswaran (Venkat), a true industry visionary and former Vice President and Unit Head of Aker Powergas Subsea Pvt. Ltd., lays out the case for enterprise digital transformations through the application of realtime virtual reality collaboration. Venkat shares his own experiences and visions of employing VR Collaboration to Reduce Costs, Improve Engineering Integrity, And Mitigate Safety Risks for enterprise engineering organizations. In addition, Venkat also relate these concepts from the subsea oil & gas industry that are transferable to other energy and manufacturing industries.