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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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In-Memory Computing Changes the Way Businesses Compute and Compete

White Paper: Explores in-memory computing technologies that enable businesses to manage and use data for real-time business intelligence.

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Transforming Sales Productivity with Social Collaboration

Intel IT and Sales and Marketing created a scalable social collaboration framework that integrates business systems and provides working flexibility.

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Optimize Performance of Virtualized SAP HANA* on VMware vSphere*

Solution Brief: Manufacturing company used the Intel® Xeon® processor E7 v2 family and VMware vSphere* to optimize virtualized SAP HANA* performance.

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Big Data Hardware to Drive Big Business with Big Data

Discover how Intel and Cloudera are joining efforts to create an ideal big data hardware platform that delivers new insights faster.

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.

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.