The Internet age is dramatically changing the scale and approaches to analysing data. Demands on data processing teams have changed from processing megabytes of data to petabytes andall the while, expected response times for the analysis have dropped from days to seconds.
To cope with this seismic shift in data volumes and processing times, technologies like Hadoop, MapReduce and their associated eco-system have evolved to process the data in massively parallel systems using thousands of computation nodes.
Stoat uses big data solutions to enable the overnight processing of vast volumes of financial data.
For computationally intense applications with smaller data sets, Stoat Software has experience of developing CUDA based solutions, utilising the many hundreds of GPUs on relatively inexpensive graphics cards, we can dramatically increase the amount of processing that can be performed on a single computer.