basics of big data
DESCRIPTION
Everything you should know about Big DataTRANSCRIPT
Big Data
It wasn’t very long ago when a terabyte was
considered large.
But now, that seems like a rounding error.
Today, we create 2.5 quintillion bytes of data every day.
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.
Ok Got it..
So, What is Big Data??
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.
Big data is difficult/impossible to work in DBMS packages,
Instead it requires "massively parallel software running on
thousands of servers".
Big data is made of structured and unstructured information.
10% are structured and 90% are unstructured like emails, videos,
facebook posts, website clicks etc.
Four Vs of Big Data
Volume, Variety, Velocity &
Veracity
The volume of data grows, we can learn more – but only if we uncover the meaningful relationships
and patterns.
Volume
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
The business is accelerating.
The data is coming faster than ever. Data shelf life is short.
Velocity
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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