Historical development of big data

 Bilal Hussain Malik

16/3/25

                                 


                                       Historical development of big data

The past history of technology and the increased level of information digitisation form the foundation of the development of big data. Data storage and gathering depended on the capacity of available technologies in the past. The 20th century was historic with the development of data warehouses and databases, which enabled the storage and handling of structured data by organisations in an efficient way. But the "big data" term became mainstream in the early 2000s when the internet, social media, and mobile phones exploded, generating massive volumes of unstructured data.


The arrival of distributed computing platforms like Hadoop and NoSQL databases in the mid-2000s provided a tipping point that made it possible to store and process large datasets. This technological leap enabled organisations to harness the power of big data, gaining important insights and making data-driven decisions. Big data has become a pillar of modern technology, powered by developments in cloud computing, artificial intelligence (AI), and the Internet of Things (IoT). The proliferation of these technologies has created a data explosion, which further fuels innovation.


As new technologies emerge, big data continues to evolve, with both opportunities and challenges. The ability to collect, analyse, and interpret large amounts of data has transformed businesses and reshaped decision-making procedures. With ongoing improvements in technologies like AI, machine learning, and edge computing, the future of big data holds great promise for expansion, innovation, and impact in various industries.



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