Risk is moving to real-time in trading limits and some other areas, but overall risk is still mostly end of day batchprocessing and pulls from multiple sources of data.
And the reality is, there is more batchprocessing and post-process reporting in Big Data applications (vs. real-time capabilities) than insiders want to admit.
The first successful big data technology was enterprise data warehouses that implement massively parallel processing, scale to the petabytes, handle batch and real-time latencies with equal agility, and provide connectors to structured and unstructured sources.