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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.
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Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
WHITE PAPER:
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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Access this white paper today to learn all you need to know about real-time personalization, how to overcome its challenges, and how you can increase the value of every one of your customer interactions.
WHITE PAPER:
This paper explores the opportunities and challenges presented by the introduction of services on 4G networks, and examines how a strategic BI implementation can help to transform the services a company provides while managing costs of providing them. It also considers the variety of practical applications of a BI system.
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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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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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This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
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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.
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This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
