Aspects of Big Data - Three Vs

What is the distinction between regular data processing and when do we talk about "Large" results? Although the answer to this question can not be determined universally, there are a number of characteristics that define the Big Data.

Today's general consensus is that there are particular attributes that define big data. Big Data features are commonly referred to as the three Vs: volume, variety, and velocity.


1. Volume:

• The word ' Big Data ' itself has to do with a scale that's big.
• The size of data plays a very crucial role in determining the value of the data. If the data volume is very large, it is considered to be ' Big Data. ' This means whether or not a particular data can be considered as a Big Data depends on the data volume.
  
  
  

2. Velocity:

• Velocity relates to the high speed of data collection.
• Velocity data in big data flows in from sources such as machines, networks, social media, mobile phones, etc.
• The data flow is huge and constant. This dictates the data's ability to meet the demands of how quickly the data is produced and processed.

3. Variety:

• This applies to structured, semi-structured and unstructured data form of the system.
• Variety is basically the introduction of data from new sources, both inside and outside a corporation. It can be classified further into-
  a)Structured data: Basically, that data is organized data. It generally refers to data which have defined data length and format.
  
  b)Semi-Structured Data: Essentially, this data is semi-organized. It is typically a type of data not in line with the structured data system. Log files are examples of that data type.
  c)Unstructured data: Basically, this data refers to unorganised data. This generally refers to data that doesn't fit neatly into the relational database's conventional row and column layout.

References:
Big Data LDN. (2020). Big Data: The 3 Vs explained | BIG DATA LDN. [online] Available at: https://bigdataldn.com/intelligence/big-data-the-3-vs-explained/ [Accessed 5 Feb. 2020].
Hackernoon.com. (2020). The 3 V’s of Big Data Analytics. [online] Available at: https://hackernoon.com/the-3-vs-of-big-data-analytics-1afd59692adb [Accessed 5 Feb. 2020].
IBM Big Data & Analytics Hub. (2020). The Four V's of Big Data. [online] Available at: https://www.ibmbigdatahub.com/infographic/four-vs-big-data [Accessed 5 Feb. 2020].
The Great Courses Daily. (2020). Understanding Big Data: The Three V's. [online] Available at: https://www.thegreatcoursesdaily.com/understanding-big-data-three-v/ [Accessed 5 Feb. 2020].
Forbes.com. (2020). Volume, Velocity, Variety: What You Need to Know About Big Data. [online] Available at: https://www.forbes.com/sites/oreillymedia/2012/01/19/volume-velocity-variety-what-you-need-to-know-about-big-data/#4530bb3c1b6d [Accessed 5 Feb. 2020].