"Since RaptorXML can process documents in parallel, Falk sees a future use for it in the realm of Big Data. “The transaction-level data views give regulators deeper insights into the stability of banks. But switch from [profit-and-loss] statements to transaction level, and XML documents quickly balloon from megabytes to gigabytes,” he said.Altova announces RaptorXML validation server - SD Times: Software Development News
“Add to this the monitoring of multiple banks, and now you are very quickly in terabyte space, and the speed of validations comes into the discussion,” he continued. “Then, regulators are going to have to store the data after they validate it, and now you’re into Big Data. You might go to a Hadoop solution to store” the data and to run Map/Reduce functions against it, he said, noting that Hadoop integration with RaptorXML is something Altova is looking at."
Thursday, April 25, 2013
Altova announces RaptorXML validation server - SD Times: Software Development News
XBRL document analysis => one very big data domain; see this page for more on Altova RaptorXML
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