Well, it is common and you all must be aware that Big Data is mainly defined by 3V’s i.e, variety, velocity, and volume.

**VOLUME: **The amount of data is huge.

**VARIETY: **Contains multiple forms of data.

**VELOCITY: **Huge amount of streaming data is continuously analyzed in near real-time.

But there is something more that differentiates big data from small data. Let’s have a look over these:

GOAL: Small data helps to accomplish a single task by analyzing the data. Whereas in Big data, the goal evolves and redirects to some unexpected situations. We can have one specific goal in the beginning over time it changes.

**LOCATION: **Small data is located usually in one place in a single file in either a database or a local PC. But big data is spread across multiple servers over the cloud in multiple locations.

STRUCTURE: Big data can be semi-structured or unstructured across many sources as compared to structured small data which is available in a single table.

**DATA PREPARATION: **Small data is usually prepared by end-users for their own specific goals. So the person who is putting the data knows the use of it and what to get from data. On the other hand, big data is prepared by a group of people who may not be the end-users. So, the coordination required to process the data is very much advanced.

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