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

Find me more at:http://uttamshrestha.com.np http://facebook.com/uttamcoolshrestha https://twitter.com/uttshrhttp://linkedin.com/in/uttamshrestha http://about.me/uttamshrestha