May 15, 2012, VLAB, Stanford University—A panel comprised of James Phillips from Couchbase, Max Schireson from 10gen, Doug Cutting from the Apache Software Foundation, Andrew Mendelsohn from Oracle, and Ravi Mohan from Shasta Ventures looked at the issues of noSQL and big data. Robert Scoble from Rackspace moderated the panel. Scoble started out by noting [...]
March 15, 2012 – The MIT/Stanford Venture Lab (http://www.vlab.org/) held their latest event on the topic of Big Data and NoSQL which is the growing trend for data storage in public and private clouds. The crowd of nearly 600 packed the campus auditorium to hear several different approaches to the data collection and query issue [...]
May 2012 – At the Nvidia GPU Technology Conference (GTC) there were sessions focusing on the shifts in scientific computing and data analysis. Thess shifts are from the both the increased amounts of data genterated by sensors in a test environment and also from advances in multiprocessor and distributed computing which allows for the creation [...]
February 23, 2012, Berkeley EECS Annual Research Symposium, UC Berkeley—Michael Jordan described the emerging challenges of computing and tracking big data. This field is ripe with opportunity and peril. Big data offers the ability to greatly increase personalization, to get completely targeted content just for you. One problem is to eliminate false positive selections in [...]
February 23, 2012, Berkeley EECS Annual Research Symposium, UC Berkeley—David Wagner described the research to secure computers for the users’ benefit. Security is hard, just look at the hack of the Google Gmail server by Chinese operatives. Other companies have experienced breaches but haven’t disclosed the event. Many hacks are possible because of weaknesses in [...]
February 23, 2012, Berkeley EECS Annual Research Symposium, UC Berkeley—Claire Tomlin described the applications of control theory to the manipulations of big data. These new functions require changes not only in the algorithms for larger scale, but also the nature of the data sets themselves. Combining the structures of big data with control theory allows [...]
