WHITE PAPER:
The focus of this IDC white paper is to compare quad-core processors and single-core processors. It then explores the market adoption, customer value proposition and adoption plans for Intel's quad-core technology processor through ...
PODCAST:
Join master of the parallel universe Clay Breshears and Aaron Tersteeg as they discuss parallel programming with a special guest. This episode features Dr. David Paterson, Director of the Universal Parallel Computing Research Center at UC Berkeley sponsored by Intel and Microsoft.
BOOK:
IT organizations are adopting a new generation of infrastructure technologies and methodologies including server consolidation. Learn how virtualization can help with this transition.
WHITE PAPER:
Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
WHITE PAPER:
This white paper provides and overview of the Intel® Tera-scale Computing Research Program, Intel's overarching effort to shape the future of Intel processors and platforms. Learn about the heart of Intel's research-achieving c...
WHITE PAPER:
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
WHITE PAPER:
It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
EBOOK:
Read this e-book for an exploration of the four advantages of clustering, including data redundancy and parallel processing, and such benefits as high availability, rapid scalability, flexibility and maximum resource utilization.
