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This whitepaper considers the specific challenges facing government infrastructures when it comes to rapidly growing traffic, especially for instances like increasing unemployment. Read on to discover the widespread effects of a buckling infrastructure, and how you can better serve your citizens with the right technology.
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How can you tap into today's data growth trend to improve processes? This white paper examines the drastic explosion of data and explores how governments have begun to handle this massive influx of information.
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This IT buyer's guide dives into eDiscovery software requirements by highlighting the capabilities commonly needed by IT teams and how a web-based legal process management software suite meets these requirements.
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Even the best managed large-scale enterprise data integration environments grow complex over time, and are continuously pressured to operate leaner and more efficiently. In this white paper, learn about an innovative publish-and-subscribe model that can be applied to data integration, delivering automation without compromising control.
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This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
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Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
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The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
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Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
