The big data steam roller continues to move forward, but if you take a brief step back, how would you define “big data?” UC Berkeley’s new Master of Information and Data Science program decided to settle the question once and for all, and proceeded to ask 40+ thought leaders.
The Hadoop Buyer’s Guide by Robert D. Schneider, author of Hadoop for Dummies, is an invaluable resource for those investigating or evaluating Hadoop—from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success.
Collibra, named a leader in the recent Forrester Wave on Data Governance Tools, announced its award-winning platform has been further optimized with the launch of advanced platform version 4.3.
Eighty percent of consumers have privacy concerns with wearable Internet of Things (IoT) connected technologies, according to the 2014 State of the Internet of Things Study. But half of those same consumers said they would be willing to share personal data collected by such devices with third-party retailers when presented with compensation such as a coupon or discount.
Intel’s White Paper, “Architecting a High-Performance Storage System,” shows you the step-by-step process in the design of a Lustre file system. It is available for download at insideBIGDATA White Paper Library. “Although a good system is well-balanced, designing it is not straight forward. Fitting components together and making the adjustments needed for peak performance is challenging. The process begins with a requirement analysis followed by a design structure (a common structure was selected for the paper) and component choices.”
The debate over which statistical platform sits premiere over the others for data science applications rages on. The discussion often turns to the popular R and SAS environments. But to focus the dialog on performance only, a new benchmark study was just completed by commercial R provider Revolution Analytics.
Seventy-five percent of businesses have yet to successfully deploy big data analytics solutions to gain business-impacting insights, despite 65 percent increasing their investment in analytic services and technologies in 2014. These findings are part of “Analytics 2014,” Lavastorm’s second annual survey on analytic usage, trends, and future initiatives.
Big Data has mostly been considered the realm of big enterprise and not the midmarket segment. Dell launched a survey to study this notion and discovered that midmarket companies not only need Big Data to engender better, more competitive business practices, but many are already using data analysis. We caught up with Darin Bartik, Executive Director and GM of Database Management at Dell, to learn more about the survey and its findings.