Dashboard

Find Content

Refine Results
Related Content

Selected Tags

  • 154 Results
  • Items Per Page

Crunching Big Data, Democratizing HPC Access for Life Sciences

Heterogeneous and cloud computing meet high-performance computing and data throughput throughout the life sciences and healthcare value chains.

Preview | Download

Intel® IT Center: Webinars and Events

Welcome to the home of Intel® IT Center events. Register for upcoming events or check out the archive.

REALTECH Enables Big Data Analytics on Mobile: Case Study

Case Study: REALTECH’s planned SAP services use SAP HANA* and the Intel® Xeon® processor E7 family to enable big data analytics on mobile devices.

Preview | Download

Big Data Analytics: Intelligence Begins with Intel

Learn more about big data analytics, from optimizing Hadoop* and Intel technologies to data integration best practices, big data security, and more.

Integrated Technology Enhances Health Care Applications

Solution Brief: Intel® and Windows 8* technology deliver superior performance for health care applications with an integrated, easy-to-use platform.

Preview | Download

Faster Library Searches with Intel® Xeon® Processor E7 Family

Case Study: A university improves its library system performance and cuts costs using a server powered by the Intel® Xeon® processor E7 family.

Preview | Download

Big Data Technologies for Near-Real-Time Results

Optimized big data technologies with Intel® Distribution for Apache Hadoop* software dramatically improve processing time.

Preview | Download

High Performance Computing and Big Data: The Coming Wave

Solution Brief: How the coming wave of high performance computing and big data uses Intel® technology for competitive business insight and innovation.

Preview | Download

Big Data and Cloud at the Intersection

Big data and new cloud architectures are revolutionizing every industry. “At The Intersection” explores the cutting edge of these new technologies.

Why Big Data: Big Thinkers on Big Data

When Sarah Lane of TWiT network talks with big data thought leaders, and the answers are strategic, practical, and far from predictable.