Storing and processing Medical Records
Problem: A health IT company instituted a policy of saving seven years of historical claims and remit data, but its in-house database systems had trouble meeting the data retention requirement while processing millions of claims every day
Solution: A Hadoop system allows archiving seven years’ claims and remit data, which requires complex processing to get into a normalized format, logging terabytes of data generated from transactional systems daily, and storing them in CDH for analytical purposes