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Post 3. Overview of In-Stream Processing Solutions On the Market

Big Data May 3, 2016 Grid Dynamics

by Sergey Trueber, Anton Ovchinnikov, Victoria Livschitz

This post contains a brief survey of better-known products related to In-Stream Processing that are available on the market at the time of this writing. In this survey, we focus specifically on critical architectural differentiations, rather than functional differences, that affect why customers may choose one approach over the others.

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Post 2. How In-Stream Processing Works

Big Data May 3, 2016 Grid Dynamics

by Sergey Trueber, Anton Ovchinnikov, Victoria Livschitz

Now that we have introduced the high-level concepts behind In-Stream Processing and how it fits into the Big Data and Fast Data landscapes, it is time to dive deeper and explain how In-Stream Processing works.

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Post 1. What is In-Stream Processing?

Big Data May 3, 2016 Grid Dynamics

by Sergey Trueber, Anton Ovchinnikov, Victoria Livschitz

In-Stream Processing is a powerful technology that can scan huge volumes of data coming from sensors, credit card swipes, clickstreams and other inputs, and find actionable insights nearly instantaneously. For example, In-Stream Processing can detect a single fraudulent transaction in a stream containing millions of legitimate purchases, act as a recommendation engine to determine what ad or promotion to display for a particular customer while he or she is actually shopping or compute the optimal price for a car service ride in only a few seconds.

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