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Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
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Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
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Data doesn't have to be only fact driven and metric. Learn these five best practices to help you make sense and order out of a disparate collection of facts.
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Read this white paper to learn how business intelligence (BI) can combine your explicitly-defined business rules and automatically-identified statistical information to deliver the best possible content to your customers for every single interaction.
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This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
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Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
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In this white paper, discover how SAP In-Memory Appliance (SAP HANA) delivers SAP In-Memory Computing technology through an ongoing engineering collaboration between SAP and Intel to provide optimized performance and reliability on Intel architecture, including the Intel Xeon processor E7 family.
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This white paper explores how IBM® Rational® software integrated offerings can help gain the traceability you need to ensure overall product quality.
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Learn how alternative methods for replicating changes from an Oracle database to a Hadoop cluster can help you maintain real-time or a near real-time copies of the tables your organization needs to meet its data analytics requirements in this brief from Dell.
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Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
