A new paper sponsored by MapR “Putting Hadoop to Work the Right Way,” takes a deep dive into the intricacies of Hadoop, and recommends how to evaluate Hadoop’s platform offerings so you can meet your short-term goals and long-term architectural plans.
The need for predictive analytics in the enterprise is clear, as it can provide smarter analysis for better decision making, increased market competitiveness, a direct path in taking advantage of market opportunity and threats, a way to reduce uncertainty and manage risk, an approach to proactively plan and act, discovery of meaningful patterns, and the means to anticipate and react to emerging trends.
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.