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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.
Value of visualization tools for users and IT.
Big data: What it will mean for your company.
Intel IT’s strategy and expectations.
Sentiment analysis on Big Data can be costly, but now that cost can be lowered from thousands to hundreds of dollars per terabyte.
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.