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In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
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This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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This informative white paper defines and discusses big data security analytics, including the continuum between real-time and asymmetric big data security analytics solutions.
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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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Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
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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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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.
