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<li class="main active"><a href="#usage-of-big-data-techniques">Usage of Big Data techniques</a></li>
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<h1 id="usage-of-big-data-techniques">Usage of Big Data techniques</h1>
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<ol>
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<li>Take the example of the traffic lights problem.<ol>
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<li>There are more than 300,000 traffic lights in the US as of 2018.</li>
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<li>Let us assume that we placed a device on each of them to collect metrics and send it to a central metrics collection system.</li>
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<li>If each of the IOT devices sends 10 events per minute, we have 300000x10x60x24 = 432x10^7 events per day.</li>
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<li>How would you go about processing that and telling me how many of the signals were “green” at 10:45 am on a particular day?</li>
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<li>Consider the next example on Unified Payments Interface (UPI) transactions:<ol>
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<li>We had about 1.15 billion UPI transactions in the month of October, 2019 in India.</li>
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<li>If we try to extrapolate this data to about a year and try to find out some common payments that were happening through a particular UPI ID, how do you suggest we go about that?</li>
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