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Organizations want to move forward with big data now. Our research shows that the industry can help by continuing to innovate around the Apache Hadoop* framework, including developing solutions for specific applications, such as real-time analytics, visualization, and sensor and device data management. This and work on standards and best practices for security, privacy, and interoperability will help organizations to take best advantage of infrastructure for big data analytics at both the hardware and software levels.
MLB mobile apps crunch big data for in-game analysis and fantasy league statistics.
Laurent Schmitt explains how big data and security are essential to building Alstom’s smart grids.
Triple large workload performance with Intel® Cache Acceleration Software with an Intel® SSD.
HPC cluster remote manageability, enabling data center monitoring for scalable utilization demo.
Paul Kent discusses SAS’s approach to big data, how integrating analytics will change the market.
SAS’s Paul Bachteal discusses self-service data analytics and delivering faster real-time insights.