Big data has always been a buzzword across different industries, especially in those that heavily rely on information and the Internet. While the term is not new to many, its definition is yet to be pinned down. Most people think that its definition is easy to understand, but the truth is it’s a bit complex to fully embrace.
There’s no need to worry, though. If you are interested in knowing what big data is, this guide will try to define it in the most digestible way possible.
The Big Data, Essentially
To understand what big data is, you need to understand data first. Data is a set of facts, information, or statistical record that serves different purposes — usually for reference. With the onset of the Internet and the popularity of web-based devices, the amount of data becomes massive that traditional computing software and devices cannot gauge or handle it; hence, the moniker “big data”.
Data scientists and professionals, such as full-stack developers for big data, say that there are certain characteristics that define big data. First, there should be a variety; it could be structured or unstructured. The volume must be also big. There should also be velocity, which refers to the pace or speed at which data is sent, transmitted, or received. Some even say that veracity should also be added, as data can change in form without prior notice or warning.
With the Internet and people’s dependence on it, many dub data as a currency. It has many applications, from helping advertisers gauge the effectiveness of their campaigns to aiding financial decision-makers in spotting trends and patterns. Some areas of biology, such as genetics, also use big data.
While the definition of big data is complicated, you cannot ignore the fact that it plays a big role in our lives. In the years to come, people will find more ways to uncover its mystery and use its full potential.