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Using Big Data to Improve User Experience White Paper

See how by aggregating big data, Intel is delivering seamless integration and is speeding the transformation of user experience across the enterprise.

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Hadoop Migration Success Story: How Intel IT Moved to Cloudera

The Intel IT Hadoop migration team has developed best practices for converting to the Cloudera Distribution for Apache Hadoop.

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Self-Service BI, Data Visualization, and Big Data Analytics

Our self-service BI tools empower sales groups to customize their reports, rapidly analyze big data, and respond quickly to business opportunities.

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Advanced Business Analytics- Broadening access to the Enterprise

Advanced analytics has been the domain of data scientists. Intel IT is extending some of this knowledge to business teams throughout the enterprise.

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Collaborative Visual Data Analysis Enables Faster, Better Decisions

Intel IT has built a visual data analysis solution--the Info Wall--which provides unique possibilities for collaboration.

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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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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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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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Incident Management: Integrating Hadoop into Big Data Environment

Intel IT compared Intel® Distribution for Apache Hadoop* with others and found that Intel Distribution offers significant advantages over the others.

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Utilizing Predictive Sales Analytics with Big Data: Paper

White Paper: Discusses how the predictive analytics engine works to identify and prioritize resellers with the greatest potential to optimize sales.

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