Big Data & Massively Parallel Systems

The Internet age is dramatically changing the scale and approaches to analysing data. Demands on data processing teams have changed from processing megabytes to data to petabytes and in the same time, expected response times 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 ecosystem 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.