News & Blogs
April 3, 2013 – By now you’ve probably heard about the Pivotal Initiative. I’d like to take a moment here to explain what this means for Spring, and to tell you about some of our plans for 2013. In case you missed it, here’s the essential background to the Pivotal: Led by Paul Maritz, the initiative unites key people and projects from across EMC and VMware to bring “consumer grade” technology to the enterprise.
Read Write Web
April 3, 2013 – Amazon Web Services is on fire, and EMC and VMware are feeling the heat. So the established enterprise-computing duo is striking back — by launching Pivotal, a joint venture that aims specifically to dethrone the current king of cloud computing.
April 2, 2013 – From healthcare and financial services, to government and academia, “big data” has gotten unprecedented attention as industries across the board struggle to answer a key question about their data: what does it all mean? Now, more than ever, companies are seeking out talent with deep analytical skills who can find the value in their data.
April 1, 2013 – What’s the intersection between the Big Data stack and real-time capabilities? The convergence is long overdue, says Trestata founder Abhishek Mehta, who discusses the market juncture on a recent NewsDesk segment. Mehta first describes how real-time analytics gradually transformed from a nice-to-have to a must-have in the past 12 months.
April 1, 2013 – It helps to reduce context-switching during long data science workflows.
March 29, 2013 – UCLA's Neurosurgery Department is testing out big data software which can prevent complications in patients with traumatic brain injuries. The university publicly announced details this week of an ongoing study of brain injury patients where doctors use a system developed by IBM and Excel Medical Electronics to predict rising brain pressure before it occurs.
March 29, 2013 – With Gartner reporting that 65 percent of packaged analytic applications will be embedded with Hadoop by 2015, developers can no longer afford to ignore this increasingly prevalent open-source programming framework. At the same time, working with Hadoop requires specialized skills, sophisticated infrastructure for large-scale data analysis and a spare cluster or two for experimenting – not exactly realistic expectations for Hadoop newbies with limited know-how.
Harvard Business Review
March 28, 2013 – Every morning at DoSomething.org, our computers greet us with a report containing over 350 million data points tracking our organization's performance. Our challenge as data scientists is to translate this haystack of information into guidance for staff so they can make smart decisions.
March 28, 2013 – We are living in an extraordinary time. The convergence of technology vectors in recent years, including the advancement in microprocessors, storage, networking, virtualization, and the cloud, has presented one disruptive shift after the other, empowering remarkable people and organizations to push the limits experientially, conceptually, and socially.
March 28, 2013 – Over the past few years, organizations like Data Science London have sprung up in major metropolitan cities all over the world. Greenplum feels privileged to be invited from time to time to present information about our products and learnings, and to participate in collaborative discussion with a group representative of the markets we serve. Recently, I had the opportunity to present a workshop on Greenplum Chorus at Data Science London, where I introduced the three primary concepts of Chorus.