Dan Barnes looks at how the introduction of big data technology is set to revolutionise how firms trade and calculate risk.
Shaving microseconds off an order’s
latency or halving the time to calculate a
portfolio’s risk profile can make or save millions
of dollars, but requires a high-performance computing platform
and processing in the parallel universe.
One of the greatest limits faced in technology is the
bottleneck, where the speed of a system is limited not by power
but by the number of processes it can run at one time. Parallel
processing can be achieved at a high-level with the application
of big data technology, used by online firms such as Google and
Facebook to analyse the enormous amounts of data created by
For many years, banks have used clusters of computers to
analyse problems: by running the same calculations in parallel
on each computer processing unit, rather than running them
though one larger calculation engine, they have speeded
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