The emergence of the big data phenomenon is intrinsically linked to the fact that information and the capacity to process it have become key factors in a company's success.
With these issues of large volumes and different typologies, the technologies of the past quickly reached their limits and it was necessary to reinvent a number of tools so that they could be adapted to these new constraints: storage and processing of decentralised data, collection of heterogeneous data from multiple sources, and data returns.
It is noteworthy that most of the basic bricks in the big data movement are open source, structured around Hadoop. Moreover, some actors who had historically been hostile to open source (e.g. Microsoft) are now abandoning their proprietary solutions and rallying around the Hadoop banner

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