White Paper: Intel® technologies help scale up Apache Hadoop* clusters and accelerate big data analysis to handle the increasing volume of data.
White Paper: Highlights Intel® technologies that help enterprises scale up Apache Hadoop* clusters and accelerate big data analysis to handle the increasing volume, variety, and velocity of data.
White Paper: Splunk Enterprise* and Intel® Xeon® processors help extract and harness the critical big data insights hiding in machine data.
White Paper: Extract and harness critical insights hiding in machine data with Splunk Enterprise* to unlock the information generated by IT systems and infrastructure and Intel® Xeon® processors and Intel® SSD storage solutions.
A Data Hub Architecture built on Intel® technologies can process multiple data formats in real time to deliver immediate analytics and insights, helping businesses quickly react to—and even predict—outcomes for improved decision making
An overview of the Apache Hadoop Distributed File System* (HDFS*) by Konstantin Shvachko, a Project Management Committee member for Apache Hadoop* and founder of AltoScale. Part of the Intel® IT Center’s Hadoop Community Spotlight series.
Intel's vision focuses on software-defined infrastructure that will enable organizations to do amazing things through their data centers.
Intel's vision focuses on software-defined infrastructure that will enable organizations to do amazing things through their data centers by delivering business services, such as analytics, more efficiently via the cloud.
White Paper: WebSphere* Application Server performance improves on Intel® Xeon® processor E5 v2 family platform with new network adapters and storage.
White Paper: Intel and IBM benchmark test the WebSphere* Application Server on an Intel® Xeon® processor E5 v2 family platform, finding that the new processors, network adapters, and storage enhance the overall performance.
Intel IT’s context-aware recommender system (CARS) addresses big data predictive analytics challenges.
Intel IT has developed a context-aware recommender system (CARS) to address big data predictive analytics challenges involving expanding data warehouses, constantly changing contextual parameters, and fast response times.
White paper: Examine the value of big data utilization in the Japanese healthcare industry.
White paper: Professor Sawa of Teikyo University explains the value of big data utilization in healthcare and advances made with solutions from Intel.