Today, large enterprises handle and analyze data far more efficiently than most enterprises. If you look at the way they do IT, it is significantly different than things were five years ago. Dr. Muddo Sudhaker, VP, Cetas Cloud and Big Data Analytics, VMware had the opportunity to speak with SiliconAngle’s Founder John Furrier and Wikibon’s Principal Research Contributor Jeff Kelly on SiliconANGLE.tv’s premier video production, theCube, to discuss the new trends surrounding Pivotal’s analytics capabilities, Big Data and Hadoop development at the 17th Stanford-Accel Symposium event. (Full video below.)

Dr. Sudhaker briefed us on his role of leading the Pivotal team at VMware to manage together a set of software components designed to work together that will produce a data analysis platform that can capture large amounts of data in one system, come up with answers in near real-time, and store the data in a multi-petabyte, scale-out storage system.

He said VMware’s vision is to enable Pivotal’s analysis using several technologies developed or acquired by VMware. The technology is part of the cloud-based Cloud Foundry PaaS infrastructure, in some ways taking on services such as Amazon AWS and OpenStack. On top of that, the data portion of Pivotal includes tools to analyze data, such as Pivotal Hadoop distribution and database services in real time.

Dr. Sudhaker then explains that by integrating the infrastructure natively within Hadoop, Pivotal analytics opens up Big Data analytics to a new class, providing both real-time query responsiveness and eliminating the need to move data back and forth between Hadoop and separate analytic databases. The combined solutions then open up software tools for rapid development of applications that operate within or outside the enterprise data center. The new class of applications will operate in a hybrid Cloud into a VMware virtualized environment, interacting with AWS or OpenStack public clouds, or VMware’s own infrastructure.

EMC and VMware are working together on rapidly expanding the industrial internet’s horizon, positioned to take advantage of potential Big Data analysis services with cloud applications. Their combined business entity, the Pivotal Initiative, will take a combination of open source and proprietary code, and the two companies will combine in a software stack designed to attract developers to build the next generation of applications to the cloud. IBM is another major player investing more than $1 billion for research and development, acquisitions and storage on Big Data analytics hoping to take advantage of the growing analysis market.

EMC’s “federation” of initiatives, especially Pivotal, will be an important topic of discussion at this week’s EMC World in Las Vegas.  We’ll be broadcasting live from EMC’s annual show-stopper, with exclusive interviews and analysis on SiliconANGLE.com and theCube.