Historical development of big data

Historical development of big data

The history of big data dates back to the 1960s and 1970s, when computers were first introduced for data processing. However, it was not until the 1990s that the term "Big Data" was coined to describe the growing volume, variety, and velocity of data being generated by various sources.

there are 3 big data phases that have been developed through the years :

Big Data Phase 1 – Structured Content

Data analysis, data analytics and Big Data originate from the longstanding domain of database management. It relies heavily on the storage, extraction, and optimization techniques that are common in data that is stored in Relational Database Management Systems started to professionalize in the 1970 s.  

Big Data Phase 2 – Web Based Unstructured Content

From the early 2000 s, the internet and corresponding web applications started to generate tremendous amounts of data. In addition to the data that these web applications stored in relational databases, IP specific search and interaction logs started to generate web based unstructured data.

Big Data Phase 3 – Mobile and Sensor-based Content

Big Data is driven by the rapid adoption of mobile technology and devices, and the data they generate. The number of mobile devices and tablets surpassed the number of laptops and PCs for the first time in 2011.In 2020, there are an estimated 10 billion devices that are connected to the internet. And all of these devices generate data every single day.