Discover resources to help you plan your big data projects, including guides, white papers, case studies, and more.
To plan your big data project, identify the right opportunity, assess environment, map requirements, and identify technical needs. Intel provides practical planning guides, white papers, case studies, and more.
Intel describes workload-driven data center solutions that meet the needs of enterprise, private cloud, and high-performance computing customers.
Intel’s Lisa Graff describes workload-driven solutions based on the Intel® Xeon® processor, Intel® Atom™ processor, and Intel® Xeon Phi™ coprocessor that meet the needs of enterprise, private cloud, and high-performance computing data centers.Full View >
White Paper: McAfee IT proof of concept demonstrates that McAfee security applications can run on SAP HANA* platforms without impacting performance, providing advanced security and compliance protection for processing sensitive data.
Intel IT conducted tests to find the optimal platform for a cost-effective, high-performance in-memory business intelligence (BI) solution.
To deliver the extreme query responsiveness required for real-time analysis of high-volume data sets, Intel IT conducted tests to find the optimal platform for a cost-effective, high-performance in-memory business intelligence (BI) solution.
White Paper: Discusses how the predictive analytics engine works to identify and prioritize resellers with the greatest potential to optimize sales.
White Paper: Discusses the Intel IT predictive analytics engine, which identifies and prioritizes which resellers have the greatest potential to optimize sales, including how it works and next steps like determining when to contact accounts.
Ceiba’s touch-enabled mobile apps for big data for the Windows* 8 Ultrabook™ enhance productivity in life science research and compatibility for IT.
Ceiba makes touch-enabled mobile apps for big data for the Intel® Core™ vPro™ processor-based Windows* 8 Ultrabook™ to enhance productivity for data-intensive, life-science computing and increased compatibility with the enterprise IT environment.