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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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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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Organizations can upgrade or migrate to Oracle Database 11g with zero downtime. Using Oracle GoldenGate’s real-time data integration and replication capabilities, businesses can perform rolling upgrades, manage partial or phased migrations and upgrades, conduct data verification, and implement a reliable failback strategy.
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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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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 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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Learn more about the challenges of maintaining the visibility needed for today’s networking environments and how to address them appropriately.
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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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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.
