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White Paper: Optimize Apache Hadoop* cluster performance with Oracle Java Virtual Machine* running on Intel® Xeon® processor-based servers.
Case Study: A university improves its library system performance and cuts costs using a server powered by the Intel® Xeon® processor E7 family.
White Paper: Describes advantages of Aspera technology for ultra-high-speed data transfer in virtualized computing environments typical of the cloud.
Data and Analytics in Healthcare and Life Sciences
Manufacturing customers are turning to Intel technologies to make more efficient use of big data and HPC during all phases of product development.
Welcome to the home of Intel® IT Center events. Register for upcoming events or check out the archive.
Join the Intel® IT Center for access to straightforward, down-to-earth info designed to help you plan and implement your big projects faster.
Brief: Companies gain competitive advantages with big data on Intel® platforms, providing richer analytics and greater business insight.
Describes the integration of predictive analytics with real-time big data, its significance, potential to operationalize it, and how Intel can help.
Deliver big data analytics at maximum velocity by upgrading Intel® technologies, including Intel® Distribution for Apache Hadoop* software.
Intel® IT Center webinar—What IT Experts from Forrester Research, PayPal, and NextBio Know about Big Data
Vendor spotlights on big data companies. Leading vendors describe their enterprise offerings for big data analytics.
Learn what IT experts from Forrester Research, PayPal, and NextBio know about big data.
Genome data analysis realizes a competitive advantage for the collation of Big Data with cost-effective scalability.
Sentiment analysis on Big Data can be costly, but now that cost can be lowered from thousands to hundreds of dollars per terabyte.
Clemson’s IT leaders discuss how they’re evolving their clusters to clouds and preparing for an era of big data analytics.
Intel’s perspective on distributed data mining with big data—or the analytics of big data generated by sensors and devices on the edge of networks.