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big_data/intro/index.html

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-      Evolution and Architecure of Hadoop
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 <li>Basic understanding of System Design.</li>
 </ul>
 <h2 id="what-to-expect-from-this-course">What to expect from this course</h2>
-<p>This course covers the basics of Big Data and how it has evolved to become what it is today. We will take a look at a few realistic scenarios where Big Data would be a perfect fit. An interesting assignment on designing a Big Data system is followed by understanding the architecture of Hadoop and the tooling around it. </p>
+<p>This course covers the basics of Big Data and how it has evolved to become what it is today. We will take a look at a few realistic scenarios where Big Data would be a perfect fit. An interesting assignment on designing a Big Data system is followed by understanding the architecture of Hadoop and the tooling around it.</p>
 <h2 id="what-is-not-covered-under-this-course">What is not covered under this course</h2>
 <p>Writing programs to draw analytics from data.</p>
 <h2 id="course-contents">Course Contents</h2>
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 </ol>
 <h1 id="overview-of-big-data">Overview of Big Data</h1>
 <ol>
-<li>Big Data is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, techniques and frameworks.</li>
+<li>Big Data is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, techniques, and frameworks.</li>
 <li>Big Data could consist of<ol>
 <li>Structured data</li>
 <li>Unstructured data</li>
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 <li>Take the example of the traffic lights problem.<ol>
 <li>There are more than 300,000 traffic lights in the US as of 2018.</li>
 <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>
-<li>If each of the IOT devices sends 10 events per minute, we have 300000x10x60x24 = 432x10^7 events per day.</li>
+<li>If each of the IoT devices sends 10 events per minute, we have 300000x10x60x24 = 432x10^7 events per day.</li>
 <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>
 </ol>
 </li>
 <li>Consider the next example on Unified Payments Interface (UPI) transactions:<ol>
-<li>We had about 1.15 billion UPI transactions in the month of October, 2019 in India.</li>
+<li>We had about 1.15 billion UPI transactions in the month of October 2019 in India.</li>
 <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>
 </ol>
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