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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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This brief resource introduces the first cloud service for the entire data pipeline. Inside, learn how this strategy can help you acquire, store, and analyze customer information and big data.
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Access this white paper to unveil the top 5 reasons why organizations should outsource IT asset disposal tasks. Learn how doing so can reduce costs and error, and ensure that economic, legal, and operations mandates are met.
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In this insightful resource, discover how you can significantly improve business performance and decision-making with an information optimization strategy, and ensure your company makes the most of every last piece of data available.
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The following white paper explores many of the challenges associated with data governance implementation. Learn about the technology that can help alleviate these problems, how to implement the solution and more.
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Consult the following white paper to learn the steps it takes to properly identify and protect your vital records. Also gain a deeper understanding of the risks associated with inadequate preservation, how to evaluate storage options, and more.
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This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
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Access the following white paper to uncover the top 10 mistakes most organizations make when launching a data governance program. Learn about the common pain points, how to avoid them, and much more.
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The connected customer is changing the way you must conduct business. In order to comply with your customers' demands, you must change the way your products are sourced, manufactured and distributed. Smarter commerce enables this, allowing you to transform how quickly you can manage and adapt your source, market, sell and service processes.
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The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
