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Many IT organizations are interested in virtualizing their business-critical applications but want to be absolutely certain they can deliver the same or better performance, scalability and availability in a virtualized environment. In the vast majority of cases they can. Read this paper to learn about VMware and Intel solutions.
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By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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To support the execution of multiple workloads without starving applications of vital compute resources, a virtualization platform needs to offer high compute performance, a large memory footprint, and superior I/O expansion capabilities. Read on to learn how Oracle’s Sun Fire X4470 server is an ideal mission-critical virtualization platform.
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This white paper describes a tested and validated storage solution for a 1000 mailbox Exchange Server 2007 environment with Local Continuous Replication (LCR) feature.
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Oracle’s Sun SPARC Enterprise servers are designed specifically as general-purpose application, database, data warehousing, and consolidation servers. They are especially suited to address the needs of enterprise datacenters, with a goal of increasing performance and flexibility while consolidating systems to reduce datacenter costs and complexity.
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Read this white paper to learn about Oracle Exalogic Elastic Cloud, an Engineered System consisting of software, firmware, and hardware designed to meet the highest standards of reliability, serviceability and performance.
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This white paper explores the challenges of operating multiple applications simultaneously. Find out how you can improve efficiency and reduce risk with a pre-integrated application infrastructure.
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This paper describes the technical limitations inherent in the architecture of traditional databases and other MPP (massive parallel processing) alternatives.