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This paper explains how the synergy of DB2 and Power Systems can help businesses simplify deployment of Web applications, achieve cost-effective large-scale processing, construct a large-capacity messaging backbone and consolidate workloads-- all accelerating your time to value
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Designed for organizations that run online transaction processing (OLTP) applications on distributed systems, IBM® DB2® pureScale™ offers clustering technology that helps deliver high availability and exceptional scalability transparent to applications.
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This informative white paper explains how the new Oracle Real Application Clusters (RAC) One Node offers enhanced high availability for single-instance databases, protecting from both planned and unplanned downtime.
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How can cloud computing help companies in the new world of big data? This expert handbook looks at some possible answers to this question.
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Deploying a failover cluster instance (FCI) architecture for your SQL Server database requires expensive shared storage for data files and backups. This resource introduces an alternative to storage area networks (SANs) that provides the availability benefit of an FCI – without the high price tag.
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This paper outlines how Oracle’s investments in the Oracle Optimized Solution for Oracle Database, enable IT organizations to achieve these difficult and opposing challenges.
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View this white paper to learn more about the comprehensive features that help easily manage the most demanding transaction processing, business intelligence and content management. It outlines a wide range of options to help extend the database and help grow your business as well as improve your users performance, security and availability.
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Read this white paper to gain a detailed understanding of how Cisco and Oracle have collaborated to deliver integrated, enterprise-class NoSQL solutions that offer exceptional agility, availability, scalability and manageability. Learn how it provides the infrastructure for the quick deployment of scalable and effective big-data solutions.
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This white paper explains how by partitioning databases based on the lifecycles of the information and compressing historical data, IT departments can reduce their dependency on high-end storage, reduce their incremental storage costs, keep more data online for longer periods, and improve the performance of applications.