Big data refers to a large volume of structural and unstructured data that is too large to be processed or even stored through the traditional database or software techniques. In such a case, the data volume will be too big, move very fast or get to a level that is beyond what can be normally processed. For instance, the available statistics indicate that more than 500 terabytes of data is ingested on Facebook daily, a volume that is too large for the ordinary software to handle.

To help you understand Big Data more clearly, here are some of its characteristics:

Volume

Big Data is enormous in size and for any data to be classified in this category; it has to be beyond the capability of the ordinary software to handle.

Variety

Big Data is not from one source nor is it of the same nature. It can be either structured or unstructured and can be emails, videos, audios or photos, among others.  Storing and analyzing such data is a       huge problem.

Variability

Big Data is inconsistent which makes it difficult to handle it or even manage it in a proper manner. It can be too much at times and at other times, the content may not be as large.

Velocity

The flow of Big Data is too fast to be handled or managed effectively. It will flow from various business processes, networks, social media platforms, and mobile devices, among others.

When a company is able to process Big Data, it will be able to have access to data from social media platform which will, in turn, enable them to align their business according to the current demands. It will also be possible to identify any risk to the business and when this happens, the right measures will be taken to avert them. the organization will be able to conduct its operations more effectively which will make their customers to have more faith in them.