History of Big Data.

The concept of big data has its roots in the 1950s, when computers began to be used for storing and analyzing large datasets. However, it wasn’t until the 1990s that the term “big data” was coined and began to be widely used.

One of the early drivers of the big data movement was the growth of the internet and the explosion of digital data being generated. As more and more people and organizations began to use the internet, the volume and variety of data being generated grew exponentially. This led to the development of new technologies and approaches for storing, processing, and analyzing large and complex datasets.

In the 2000s, the proliferation of social media, mobile devices, and the internet of things (IoT) further contributed to the growth of big data. These technologies generated vast amounts of data from a variety of sources, including user-generated content, location data, and sensor data.

Today, big data is a key driver of innovation and business growth in a wide range of industries. It is used to inform decision-making, optimize processes, and uncover insights that can drive competitive advantage. The field of big data analytics is constantly evolving as new technologies and approaches are developed to handle the growing volume, variety, and velocity of data being generated.

A Brief History of Big Data.

“You can have data without information, but you cannot have information without data.”  ~Daniel Keys Moran