Historical development of big data.


Historical development of big data. 

The big data concept did not begin only with the digital age but was germinated long ago with the challenge of managing the mass of information. In the 1940s – 60s, the data was stored mainly on punch cards and magnetic tapes for government and military purposes. The 1980s gave birth to relational databases such as Oracle and IBM DB2, which provided more structured data management, although the amount of data was still manageable with traditional tools.

The surge in the 1990s and 2000s, particularly the rapid growth of the internet, social media, and mobile technologies, marked the commencement of unstructured data generation. The emergence of distributed storage and analysis through many machines by Google MapReduce in 2004 and the launch of Hadoop soon after were the turning points of data processing. The 2010s also brought about the cloud computing, the NoSQL databases, and the real-time processing platforms such as Apache Spark which made big data well-received in a lot of industries such as business, healthcare, and finance. Now big data is not just about large scale anymore - it is more about the ability to quickly and efficiently extract useful insights.

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