Fast Data and the Enterprise
The world is becoming more interactive. Delivering information, offers, directions, and personalization to the right person, on the right device, at the right time and place—all are examples of new fast data applications. However, building applications that enable real-time interactions poses a new and unfamiliar set of data-processing challenges. This report discusses common patterns found in fast data applications that combine streaming analytics with operational workloads.
Understanding the structure, data flow, and data management requirements implicit in these fast data applications provides a foundation to evaluate solutions for new projects. Knowing some common patterns (recipes) to overcome expected technical hurdles makes developing new applications more predictable—and results in applications that are more reliable, simpler, and extensible.
New fast data application styles are being created by developers working in the cloud, IoT, and M2M. These applications present unfamiliar challenges. Many of these applications exceed the scale of traditional tools and techniques, creating new challenges not solved by traditional legacy databases that are too slow and don’t scale out. Additionally, modern applications scale across multiple machines, connecting multiple systems into coordinated wholes, adding complexity for application developers.
As a result, developers are reaching for new tools, new design techniques, and often are tasked with building ...
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