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Intel and Cloudera* Big Data Analytics Video

Intel and Cloudera* big data analytics use cases

Data Accelerator: Speeding to Big Data Value with Apache Hadoop*

Hadoop offer new ways to improve analytics and capture value from data. MetaScale expert Scott LaCosse shares advice to get you started.

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Real-Time Big Data Analytics for the Enterprise

White Paper: Get in-memory big data management with predictable speeds with Terracotta BigMemory Max* and Intel® Xeon® processor E7 v2-based servers.

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Evaluating in-memory computing performance in big data analytics

NTT Data demonstrates superior performance of Intel® Xeon® processor E7 family in heavy load evaluation

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SQL Server* 2014 Foundation for the Data-Driven Enterprise

Solution Brief: SQL Server* 2014 and Intel® Xeon® processors support the data-driven enterprise with in-memory performance and big data integration.

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Configuring an In-Memory BI Platform for Extreme Performance

Intel IT conducted tests to find the optimal platform for a cost-effective, high-performance in-memory business intelligence (BI) solution.

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Evaluating Apache Hadoop* Software for Big Data ETL Functions

We determined that Hadoop works well for ETL with big data datasets that come from, pass through, or rest in Hadoop.

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Inside IT: Intel’s Big Data Journey

Intel IT discusses the evolution of their big data strategy, the methods IT employs to develop it, and their expectations for big data moving forward.

SIEM: Intel IT’s Security Business Intelligence Architecture

SIEM architecture–Intel IT’s approach is an IT best practice of three layers: common logging service, correlation layer, and predictive analytics.

SAS CEO Keynote on the Technology Powering Analytics

SAS CEO Jim Goodnight speaks at Analytics 2013 about SAS’s commodity hardware, such as servers, racks, blades, and their Intel® Xeon® processors.