<div dir="ltr" style="text-align: justify;"><b>What is Big Data?</b></div>
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<li>Lots of Data (Terabytes or Petabytes)</li>
<li>Big Data is the term for a collection of data sets so<b> large and complex</b> that it becomes <b>difficult </b>to process using on-hand database management tools or traditional data processing applications.</li>
<li>Systems or Enterprises generate huge amount of data from Terabytes to and even Petabytes of information</li>
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<li><b>Facebook </b>generate 500+ TBs data per day for analysis.</li>
<li><b>NYSE </b>generate about 1 TB data of new trade data per day to perform stock trading analytic to determine trends for optimal trades.</li>
<li>One <b>Airoplane </b>per day generate almost like Facebook data quantity.</li>
<li><b>Lighting or Electricity </b>board has also lots of data per day to analytics for calculating power consumption for a particular state.</li>
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<p>|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;|<br />
<b> DATA</b><br />
|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;|<br />
<b> 70 % data | 30% Structured</b><br />
<b> Unstructured(NoSQL) | Data (RDBMS)</b><br />
<b> |</b><br />
<b>Vertical Scalability | No Vertical Scalability</b><br />
|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-|</p>
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<p><b>Big Data Technologies</b></p>
<p><b>1. Operational Big Data-</b><br />
System that provide operational capabilities for real time interactive workload where data is primarily captured and stored. <b>(MongoDB)</b></p>
<p><b>2. Analytical Big Data-</b><br />
System that provide analytical capabilities for retrospective, complex analysis that may touch most of all the data.<b> (Hadoop)</b></p>
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