The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?” We were consistently being told that data science would be the “sexiest” job of the century but finding a data scientist to implement a Big Data project was difficult to do. The early days of Big Data were defined by building massive data stores, or data lakes of unstructured data that were searchable in ways and at speeds that were not previously possible.

These massive repositories of unstructured Big Data, often based on Hadoop, were populated with historical data, with analysis happening on data collected from hours, days, weeks or even years in the past.

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