Recent innovations in data warehousing and business analytics dramatically increase the capability and potential value of today’s massive, diverse, and often fast-moving data flows. Companies now perform interactive queries and predictive analytics using all available data, including operational data and the huge amounts of poly-structured data available from logs, social networks, sensors, and many other sources. In this white paper, we define a practical, cost-effective infrastructure for supporting data-driven decision-making on an enterprise scale.
Seguem os slides das apresentações realizadas durante o App Lab Android no dia 11 de Outubro de 2013:
Ferramentas Intel Android
The business potential of big data analysis is enormous across virtually every business sector. The Intel IT organization has implemented use cases delivering hundreds of millions of dollars in business value. This paper discusses a few of those use cases and the technologies and strategies that make them possible. It also defines the architecture we use for big data analysis and provides an in-depth look at one of the most important components—an Apache Hadoop* cluster for storing and managing large volumes of poly-structured data.
INTRODUCTION AND PURPOSE:
This article endeavors to provide a single point of reference to Power Management blogs, articles and other resources relevant to the Intel® Xeon Phi™ coprocessor.
The previous blog in this series, “Intel® Xeon Phi™ coprocessor Power Management Turbo Part 1: What is turbo? And how will it affect my horsepower?” can be found at http://software.intel.com/en-us/blogs/2013/09/26/intel-xeon-phi-coprocessor-power-management-turbo-part-1-what-is-turbo-and-how-will.
I'm excited by our announcement today of Intel® Parallel Computing Centers. The first five centers will be located at CINECA, Purdue University, Texas Advanced Computing Center at the University of Texas (TACC), The University
The Intel Academic Program announces new software projects for security coursework, labs and experiments. These tools support the Intel Security Curriculum Series and can be used in general aspects of security instruction. Peruse our first projects on the Advanced Encryption Standard (AES), Trusted Boot, Identity Protection and Digital Random Number Generator (DRNG) here on the Security tab: http://software.intel.com/academic