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Check out this article now to learn about public v. private clouds and how they stack up when it comes to mitigating risk and meeting business needs.
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This white paper discuses the benefits of consolidating data and retiring (or decommissioning) redundant or older systems to improve overall operational management costs.
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View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
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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.
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Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
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This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
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To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
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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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Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.