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Business analysts use HDP® to explore new data types and large data sets that were previously too big to capture, store and process. They unlock insights from data such as clickstream, geo-location, sensor, server log, social, text and video data.
This new data enriches existing analytic applications with new perspectives and insights. New data also drives the creation of innovative new apps that provide new value to the business.
Rather than constrain your analysis to structured columnar data, store raw data in its many forms and explore a wider range of questions.
A major health insurer brought together electronic health records and hand-written claims stored as PDFs. Exploring the datasets in HDP, the customer uses optical character recognition and natural language processing to identify coding errors, improving reimbursement rates and patient outcomes.
Data previously separated by source, structure or system can now be combined in one shared data lake, revealing new insights.
Luminar uses HDP to capture, store and process data from over 2000 sources covering half of adult US Latinos. Combining 15 terabytes of data per month, they provide actionable insights to the advertisers who are their clients. In addition, Luminar is now able to offer new products to clients allowing them to discover their own insights in the data.
Security breaches happen. And when they do, server log analysis helps you identify the threat and then protect yourself better in the future. See how Hadoop takes server-log analysis to the next level by speeding forensics, retaining log data for longer and demonstrating compliance with IT policies. The tutorial that comes with this video describes how to refine raw server log data using HDP.