[vc_row][vc_column][vc_column_text]Stream analytics or Streaming analytics typically means making analytically informed decisions in milliseconds, while examining many thousands of events per second, generated from many millions of devices which can also be enriched by many other disparate sources of data. Stream analytics is important for institutions and individuals alike. We need to know what is happening now and not miss out on anything important. An event with a particular machine at my productions plant or someone breaking and entering my home is of importance to me now and not later as this helps me in immediately initiating remedial actions based on events.
IoT is a typical use case for Stream Analytics as we have millions of things generating many million events which need to analyze on the fly and make informed choices either automatically or by human intervention.Now let’s looks at the available options to perform streaming analytics. We have options from all three major IoT platform providers AWS, Azure and Google. In this How to blog series, I shall be concentrating on how to setup Stream analytics on all 3 major IoT platform providers.
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Whitepaper on How to Route Internet Traffic between A Mobile Application and IoT Device
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Whitepaper on Mitigating the Risk of IoT Security using Paasmer IoT Platform
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Paasmer IoT Platform
Whitepaper on Smart Parking System Using Internet of Things
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Whitepaper on Internet of Things Deployment Guide for CIOs
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Whitepaper on Real Time Monitoring of Vehicle Emissions
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Whitepaper on IoT Solutions for Agriculture
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Whitepaper on A Complete Guide to Choosing the Right IOT Platform
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