Streaming-First Architectures Building the Real-Time Organization

Having the right data at the right time is essential for organizations that need to compete. Having the latest information about current market movements, customer interactions, or operational data from the shop floor can tip the scales. However, gathering and processing data in (near) real-time is not as easy as it sounds. Traditional analytics architectures were built mostly to support strategic business decision making, where timeliness is rarely critical. This model hits a wall when data flow velocity increases and requirements like real-time processing come into play. Accordingly, traditional architectures are integrating real-time components and gradually shifting toward “streaming first” concepts. But integrating streaming components in analytical landscapes presents challenges such as new tools, technologies, concepts, and methods, as well as a novel way of thinking about analytics architectures. And both experience and best practices are scarce in this area.

This report helps business and technical executives understand data streaming, analyze analytics architectures, and optimize accordingly.

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