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In this white paper, Philip Howard reviews the current market for data integration platforms, paying particular attention to open source offerings from Talend.
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Learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing by offloading database query processing to the storage layer.
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Existing approaches to data management prevent many businesses from harnessing the value of the huge volumes of data generated by today's Web-oriented, virtualized, real-time applications. Read this paper to learn how to meet increasing demands for immediate information with the modern data management products of the VMware vFabric platform.
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The following white paper provides an overview of Cassandra and details how it differs from traditional database solutions. Uncover how this massively scalable NoSQL database offers more than just a solution to data, and most importantly, learn if this solution is right for you and your organization.
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Agile Software Development is one of the most effective methodologies to develop application software. This paper examines and compares RDBMS with several object persistence methods within the context of Agile Software Development by quantifying the impact of these methods on the velocity and success of an agile application development project.
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This paper outlines Oracle's approach to overpricing one part of a database solution to compensate for another part, leading to a much higher total cost of ownership (TCO). Read this now to learn more about the evolution of TCO, Oracle's pricing strategy, IBM's pricing strategy and so much more.
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Check out this paper and discover how to deploy MongoDB onto Red Hat Enterprise 6.2. In addition to a step-by-step process for deployment, you'll also learn how to take advantage of features of the underlying system, several deployment scenarios for high performance database read and writes, and gain an in-depth look at MongoDB.
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This white paper examines how the Sun Oracle Exadata Storage Server allows companies to accelerate database performance, handle change and growth in scalable and incremental steps, and deliver mission-critical data availability and protection.
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This paper discusses how and why to design SQL that will reduce the number of times calls are made to DB2. We'll look at how to write SMART applications rather than writing applications that act like generic I/O modules to DB2, properly tune SMART SQL, and how to exploit SQL and application features in DB2 on z/OS version 8 and 9.
