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What do the V's stand and what do all of those mean with reference to Hadoop?

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To make sense of the huge amount of data, it is often broken down based on the five Vs: Velocity, Volume, Value, Variety, and Veracity

Velocity:

Velocity refers to the high speed at which data flows in from multiple sources such as machines, networks, social media, mobile phones, etc.

There is a massive and continuous flow of data

Example: On Google, more than 3.5 billion searches are made per day

Volume

-Volume means the huge amount of data!

-To determine volume, the size of the data plays a crucial role

-When dealing with Big Data, it is necessary to consider the ‘volume’ of it

-Example: In the year 2016, the estimated global mobile traffic was 6.2 exabytes (6.2 billion GB) per month

Variety:

-It refers to the nature of data, i.e., whether the data is structured, semi-structured, or unstructured.

-It also refers to the heterogeneous sources.

-Variety is basically the arrival of data from various new sources both inside and outside of an enterprise

Value:

-The bulk of data having no value is of no good to the company, unless we turn it into something useful

-Data (just by itself) is of no use or importance, but it needs to be converted

into something valuable to extract information

-Hence, we can state that ‘value’ is the most important ‘V’ of all the 5Vs.

To understand the theoretical concepts of big data, I'd definitely recommend reading about big data.  

Enroll now in this professional Big Data Hadoop certification training and start your journey.

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