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This white paper dives into the differences between the Agile and Waterfall methodologies in relation to software development, the pros and cons of each, best use cases, and a roadmap for mixing the two.
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View this white paper to learn more about what contributes to an effective business analytics buying criteria. It examines the importance of implementing an integrated infrastructure and its relationship to business analytics.
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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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This resource analyzes the economic benefits of cloud computing in the ERP and CRM space, and details how embracing the cloud can be a competitive differentiator for SMBs.
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In this resource, HR and business leaders will find a comparison of the strengths and weaknesses of purpose-specific software and bundled software suites, providing you with key information to help you more strategically meet your organization's talent recruitment goals.
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This white paper discusses three delivery models, including the benefits and considerations you must take when choosing the right model for your business.
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Access this whitepaper to discover an in-depth consideration of enterprise mobile strategies, and how to implement the right tools – including micro apps. Also discover the top 10 end-to-end mobile requirements.
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In this data sheet, explore business-critical information on service virtualization and how it allows your development team to move more quickly without sacrificing quality or testing. Read on to learn more about service virtualization platforms and your company.
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Access this featured resource to find out how Comcast found reliability through a DevOps strategy built around service virtualization. Find out how this massive company was able to virtualize 98% of test interfaces, and enjoys a 65% reduction in the amount of time to create and maintain test data.
