There is no doubt that Big Data is a very interesting concept to know, especially when we hear or read that it is the new wheel that is changing the world.
Have you ever wondered: where does your information go? What is its use? And who might be interested in it?
In relation to these questions, Big Data has a lot to tell us. Below, we invite you to learn what this term consists of, what its history is and in which areas it is being implemented.
What is Big Data?
When we talk about Big Data , we refer to the process of collecting, analyzing and interpreting large volumes of data that would take too much time and be very expensive to load into a database for analysis.
Also, Big Data is considered as a large amount of data ranging from 30-50 terabytes to Petabytes.
In this way, the concept of Big Data applies to the set of data that cannot be processed or analyzed using traditional tools, so a more complex process is social media marketing service needed to “clean” said data and extract elements that can be interpreted.
Gartner defines Big Data as data that contains greater variety, which is presented in increasing volumes and at a higher speed.
IBM, in its report Performance and Capacity Implications for Big Data published in 2014 , agrees with this statement by stating that Big Data solutions are distinguished from traditional ICT solutions by considering four dimensions:
Volume: Big Data solutions must manage and process large amounts of data.
Speed: They must process data that is recorded at high speed.
Variety : They must be responsible for processing different types of data and structured in multiple ways.
Truthfulness: they must find inconsistencies in the information that is collected.
The complex data that Big Data has to process is extracted daily not only from users who use digital platforms and smart devices such as cell phones, tablets, TVs, Smart Watches, but also from inanimate objects.
With the advent of the Internet of Things (IoT), there are a growing number of objects and devices connected to the Internet that generate data related to usage patterns. This makes Big Data more important than ever to monetize the data that is collected.
History of Big Data
Although Big Data as a concept is relatively new, its origins date back to the 1960s and 1970s, when the world of data was just beginning.
As a result of the Baby Boom demographic growth in the United States, systems were created that could store and analyze data from the large number of people who were being born.
However, it was not until 1999 that the term Big Data was first used in an academic paper called “Visually Exploring Gigabyte Datasets in Realtime,” written by Steve Bryson, David Kenwright and other contributors.
In 2001, Doug Laney established the “3 V's that are part of Big Data”, which we already explained in the previous lines.