Basics of Big Data
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Big Data
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It wasn’t very long ago when a terabyte was
considered large.
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But now, that seems like a rounding error.
Today, we create 2.5 quintillion bytes of data every day.
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We’re creating so much data so quickly that 90 % of the data in
the world today has been created in the last 2 years alone.
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Ok Got it..
So, What is Big Data??
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Big data is a collection of data sets so large and complex that it becomes
difficult to process using on-hand DBMS tools or traditional data processing
applications.
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Big data is difficult/impossible to work in DBMS packages,
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Instead it requires "massively parallel software running on
thousands of servers".
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Big data is made of structured and unstructured information.
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10% are structured and 90% are unstructured like emails, videos,
facebook posts, website clicks etc.
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Four Vs of Big Data
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Volume, Variety, Velocity &
Veracity
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The volume of data grows, we can learn more – but only if we uncover the meaningful relationships
and patterns.
Volume
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From the endless streams of text data in social networking and geolocation data, to structured wallet share
and demographics, companies are capturing a more diverse set of data than ever.
Variety
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The business is accelerating.
The data is coming faster than ever. Data shelf life is short.
Velocity
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Veracity addresses the inherent trustworthiness of data.
The uncertainty about the consistency or completeness of data and other ambiguities can become major obstacles.
Veracity
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Created / Compiled / Curated ByUttam Shrestha
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