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This valuable report examines the critical role of data integration in driving big data success. Read on to learn about the current state of data integration, the key challenges of big data, and more.
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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.
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This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis.
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This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization.
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When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
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The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.
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This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
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Access the following white paper to uncover expert insights on how to leverage business intelligence coupled with predictive analytics to take your customer relationships to the next level. Uncover the importance of customer intimacy and how you can achieve it easily and efficiently.