Organizations handling transactions involving credit or debit cards are facing increasing pressure to meet regulatory compliance mandates.
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
Cambridge University was challenged to achieve higher efficiencies by virtualizing platforms and refreshing equipment.
This paper illustrates how the combination of Acrobat DC and Office applications, as well as SharePoint and Microsoft Office 365, can simplify day-to-day tasks, paying dividends towards overall workforce productivity.
Read this Wikibon study to learn how sponsors of Big Data projects should measure success by.
Download this Harvard Research Group Assesment to learn the benefits of adopting a near real-time in-memory data analytics solution like IBM DB2 10.5.
While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics workload.