Historical development of big data (technologies and techniques)


Historical development of big data (technologies and techniques) :Big data has come a long way since the 1990s when companies began collecting and storing large amounts of data. In the early 2000s, technologies like Hadoop, MapReduce, and NoSQL databases changed how big data was processed and analyzed. These advancements allowed for the storage and processing of huge amounts of data in a distributed computing environment. As big data grew in importance, machine learning and artificial intelligence techniques were used to extract valuable insights from the vast data. Today, big data technologies are rapidly evolving, with cloud computing, real-time analytics, and edge computing shaping the future of big data analytics.

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