Case Study: Pecan Street boosts smart grid speed, scale, and security for better data analytics using Intel® Distribution for Apache Hadoop* software.
Case Study: Pecan Street, Inc increases real-time speed, scale, and security for smart grid and metering technology, bettering data analytics using Intel® Distribution for Apache Hadoop* software and Intel® Xeon® processors.
Case Study: A university improves its library system performance and cuts costs using a server powered by the Intel® Xeon® processor E7 family.
Case Study: The University of Hawaii improves performance and cuts costs of its library management system by migrating to a server powered by the Intel® Xeon® processor E7 family, providing faster searches and 24/7 access to the library database.
Manufacturing customers are turning to Intel technologies to make more efficient use of big data and HPC during all phases of product development.
Big data and new enterprise cloud architectures are revolutionizing every industry. “At The Intersection”, sponsored by Intel and EMC, explores the cutting edge of these trailblazing new technologies and the fascinating gurus driving them.
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.
Case Study: Sakura Internet deploys an Intel® Xeon® processor-based large object store for faster cloud service with fewer disk capacity requirements.
Case Study: Sakura Internet uses reference architecture developed by Amplidata and Quanta and based on Intel® Xeon® processors to deploy a large object store for a faster cloud service with fewer disk capacity requirements and less costs.
Big Data is about applying proper business analytics, business tools and then business intelligence against the analytics
Pecan Street uses data-intensive analytics to empower consumer energy management, collecting data using a device-to-cloud architecture.
Pecan Street uses data-intensive analytics to empower consumer energy management, collecting data using a device-to-cloud architecture from multiple sources such as advanced metering systems, smart appliances, and more.
University of North Carolina at Chapel Hill (UNC) analyzed big data from thousands of individual genomes to improve patient care and support research.
University of North Carolina at Chapel Hill (UNC) analyzes big data from hundreds to thousands of individual genomes to find better treatments for patients and support research initiatives.