What do you qualify as "Big Data"? Does it have more to do with the amount of data or the type of data?

3.3k views2 Upvotes13 Comments

CTO in Healthcare and Biotech, 11 - 50 employees
The vastness of data points at your disposition and how you use them for business decisions.
CEO in Services (non-Government), Self-employed
Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.
CTO in Software, 11 - 50 employees
It is your inventory of works. Irrespective of its nature, you should be smart enough to use it for future decision-making. The amount and type will help to make your prediction more precise.
Chief Data Officer in Services (non-Government), 51 - 200 employees
Data that contains greater variety, arriving in increasing volumes and with more velocity (also known as the 3 Vs).
Chief Technology Officer in Finance (non-banking), 1,001 - 5,000 employees
It is the latter - the data variety and the intended insights qualify to determine the need for big data. 
CIO in Software, 51 - 200 employees
I would count both, the amount of data as well as the type of data, the data sources and the requirements/needs to process such data, along with the data complexity.
CIO in Manufacturing, 501 - 1,000 employees
Big data does not have to be big.  It is more of a concept.  We have had great success using machine learning on data sets ranging from 1500 records to hundreds of thousands of records.
CTO in Software, 51 - 200 employees
Big data has evolved into a polysemous term that assumes its meaning in different context. It may have emerged with the advent of large quantities of semi structured or unstructured data, it today encompasses three aspects of quantity, form and tooling - an aspect not covered in the question. There can be no big data discussion without the tooling that it has evolved in all layers of the stack.
Chief Information Officer in Services (non-Government), 51 - 200 employees
Business qualified data that is of significant size and importance to the organizations strategy.
CIO in Healthcare and Biotech, 201 - 500 employees
It has to do with both. If you have a small but complex set then it is still easier to work with than a large set that is complex as it takes more to understand the outcomes you can get from it. I always think of big data as large sets of unstructured data that you are trying to derive decisions from.

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