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This paper introduces SAP In-Memory Computing technology concepts, explains how SAP HANA uses them to help deliver real-time business insight, and describes how synergies with Intel architecture-based server platforms drive solution value.
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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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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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This white paper addresses the business reasons to move to real-time data warehousing and describes the common data integration approaches, with an emphasis on using real-time CDC capabilities and Oracle’s data integration offerings in that area -- including Oracle GoldenGate 11g and Oracle Data Integrator Enterprise Edition 11g.
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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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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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Read this comprehensive white paper now to learn more about real-time business intelligence (BI) and the benefits of implementing agile BI into your current BI strategy.
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Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
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The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
