Stream Analytics with Microsoft Azure

Logical flow of processing

In the current era of data explosion and requirement for an always-connected paradigm, organizations are collecting colossal volumes of data on a continuous basis in real or near-real-time basis. The value of this data surge depends on the ability to extract actionable and contextual insights in a timely fashion. Streaming applications have a very strong mandate to derive real-time actionable insights from massive data ingestion pipelines. They have to react to data in real time. For instance, as a data stream arrives, it should trigger a multitude of dependent actions and capture reactions. The most critical part of building streaming solutions is to understand the interlude between input, output and query processing ...