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This resource takes a closer look at the business impact of big data, and explores how the right data management strategy can help you get the most out of all of the information in your enterprise.
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Access the following white paper to uncover how companies are leveraging new analytics technology and practices to stay ahead of the big data curve. Discover how you can gain the actionable intelligence you need and what you can do to gain a sharper competitive edge.
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This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
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The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
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This brief resource introduces an enterprise distribution of Hadoop that takes the pain out of big data management. Read on to learn how you can perform interactive big data analysis, accelerate big data cluster deployment, and more.
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This resource profiles a storage adapter for advanced project management that can help you optimize exploration and development operations, reduce storage management complexity and TCO, and more.
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Many businesses mistakenly enter the world of big data through a "lab" approach in IT departments. To obtain real business value from big data, you need a strategic approach to join technology investments with business goals.
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Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
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In this resource, discover how big data analytics, paired with the right asset management software, can help you improve facilities and asset management, increase operational efficiency, and generate more revenue.
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In this resource, learn how the right database foundation can help your organization facilitate real-time analytics and capitalize on the full potential of big data.