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Big Data Analytics White Papers

See the most recent Big Data Analytics whitepapers below.

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Hadoop in the Cloud: Leverage Big Data Analytics Easily and Cost-Effectively with IBM InfoSphere BigInsights

Hadoop enables organizations to extract valuable insight from large volumes of structured, unstructured, and semi-structured data. The need for large, up-front investments and concerns about flexibility, coupled with special challenges involved in evaluating the technology and developing Hadoop skills, often prevent organizations from adopting and deploying Hadoop across the enterprise. It also becomes impractical to use Hadoop on an occasional basis for high-impact projects that do not have a need for continuous processing. There is good news, though. You can overcome these capital requirements barriers through cloud computing.


Fast and Furious: Big Data Analytics Meets Hadoop

SAS and Hadoop are natural complements. Hadoop provides distributed storage and processing power, while SAS treats Hadoop as just another data source and complements it with data management, data discovery, and advanced analytics. Integrating the two provides important benefits for extracting the most value from your big data assets: accuracy, scalability, and productivity.


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