Big Data processing has to date often focused on technologies like MPP and NoSQL databases and the much hyped Hadoop - none of which cut it for what is generally understood as low latency for financial applications. But the performance of these platforms is being improved so that ‘real time’ is being increasingly used to describe their capabilities. In the context of Big Data, what does real time mean? And how might these technologies play in the trading lifecycle?
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