Quantify and Qualify a project for Big Data

Many are thinking that Big Data must be used to solve the given problem.
We can’t use the forklift to lift a needle.

Reference 1: https://en.wikipedia.org/wiki/Big_data
Big data can be described by the following characteristics:

Volume
The quantity of generated and stored data. The size of the data determines the value and potential insight- and whether it can actually be considered big data or not.
Variety
The type and nature of the data. This helps people who analyze it to effectively use the resulting insight.
Velocity
In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.
Variability
The inconsistency of the data set can hamper processes to handle and manage it.
Veracity
The quality of captured data can vary greatly, affecting the accurate analysis.


Reference: https://community.qingcloud.com


Reference: http://www.computaholics.in/2015/12/bdv-big-data-5-v.html


Reference: http://bigdata-tech.blogspot.com/p/big-data-definitions-and-concepts.html

Conclusion: In above diagram, if the system is in first two inner circles, we can solve the issue with less infrastructure and enterprise solution. if a system is having well-defined data, the transaction in nature, small data sets, better to use enterprise solution, rather Big Data framework.

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