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Big Data Techniques, Strategy and Expectations- Intel IT's 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.

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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Improve Power Management with Intel® Node Manager

Intel® Node Manager dynamically monitors power management, enabling limiting at every data center level for increased density and load balancing.

IT Cost Optimization driven by Smart Server Investments

Brief: Intel® Xeon® processor E5-2600 v2 product family-based solutions recoup server investment costs, reducing maintenance and power costs.

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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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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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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.

Best Practices for Implementing Apache Hadoop* Software

In five weeks, Intel IT implemented an Intel® Distribution for Apache Hadoop* software-based big data platform for business intelligence value.

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