Reifier is the only MDM solution which has been built ground up for big data. Our Spark and Hadoop based entity resolution and record linkage technology is the best way to discover patterns in big data, customer deduplication and master data management.
With growing data in different formats, systems and locations, organizations are rushing to build data lakes to store structured and unstructured information. Essentially a data lake is a repository to denormalize and aggregate data, with historical data easily available for analysis. Hadoop and Spark are increasingly being used to save and analyze emails, call centre transcripts and user interactions, customer records, supply data and transactional information. But a badly organized datalake without correct master data can soon turn into a swamp.
Reifier’s big data fuzzy matching can tie all this data together by discovering cross references and record linkages. Using natural language processing and Reifier’s entity resolution, entities in unstructured data like annual reports, news, emails etc can be tied back to master data for analysis and reporting.
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Posted on September 6th, 2016