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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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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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This paper addresses common myths surrounding static code analysis and explains what the technology can do for developers and the software development lifecycle.
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This resource addresses an intelligent and systematic approach to managing your Sybase environment. Inside, learn about the key advantages to 5 different models.
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This case study looks at how Virgin Media developed a set of transparent, efficient, and unified software testing tools to speed development, and increase quality.
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Explore research done by Gartner to find out how in-memory computing will impact ERP during the next 5 years, so businesses can plan accordingly.
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This whitepaper takes a look at service virtualization, and how it can speed application development by replicating unavailable components, and improve quality control with multiple scenario testing.
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In this informative technology detail, discover best practices for development with Red Hat JBoss business rules management system. It will focus on three key areas of rules development: rule authoring, designing the domain or fact model and various aspects related to rule execution.
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Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
