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Post #3: Growth of Big Data

There was an incredible amount of internet growth in the 1990s, and personal computers became steadily more powerful and more flexible. Internet growth was based both on Tim Berners-Lee’s efforts, CERN’s free access, and access to individual personal computers.
In 2005, Big Data, which had been used without a name, was labelled by Roger Mougalas. He was referring to a large set of data that, at the time, was almost impossible to manage and process using the traditional business intelligence tools available. Additionally, Hadoop, which could handle Big Data, was created in 2005. Hadoop was based on an open-sourced software framework called Nutch, and was merged with Google’s MapReduce. Hadoop is an Open Source software framework, and can process structured and unstructured data, from almost all digital sources. Because of this flexibility, Hadoop (and its sibling frameworks) can process Big Data.
Big Data is revolutionising entire industries and changing human culture and behaviour. It is a result of the information age and is changing how people exercise, create music, and work. The following provides some examples of Big Data use.
  • Big Data is being used in healthcare to map disease outbreaks and test alternative treatments.
  • NASA uses Big Data to explore the universe.
  • The music industry replaces intuition with Big Data studies.
  • Utilities use Big Data to study customer behaviour and avoid blackouts.
  • Nike uses health monitoring wearable' to track customers and provide feedback on their health.
  • Big Data is being used by cyber security to stop cyber crime.

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