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Total Hits: 13 | Today: 0
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Author: Jay Nathan
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Data cleansing is an important task for data warehouse specialists, database administrators, and developers alike. Deduplication, validation, and householding techniques can be applied whether you are populating data warehouse dimensions, integrating new data into an existing transactional system, or supporting real time dedupe efforts within a transactional system. The goal is a high level of data accuracy and reliability that translates into better customer service, lower costs, and peace of mind. Data is a valuable organizational asset that should be cultivated and refined to realize its full benefit.
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