Data normalization is about reducing redundancy and defining a more optimized structure. Perhaps you DBAs are aware of this process. I taught it in college more than 30 years ago.

Data normalization enables health systems to look for key clinical conditions irrespective of the underlying terminology used to populate their CDRs. Summary. In general, ...

Liquid chromatography mass spectrometry has become one of the analytical platforms of choice for metabolomics studies. However, LC-MS metabolomics data can suffer from the effects of various ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

The US Employment Report for August showed a partial reversal of last month's downbeat numbers that roiled global markets. Nonfarm payrolls added 142,000 in August, while July's lower-than ...

Data from two Phase 2 studies in PBC show combination of OCA + bezafibrate achieved biochemical remission (normalization of ALP, total bilirubin, GGT, ALT and AST) in 40-44% of patients in the ...

See a spike in your DNA–protein interaction quantification results with these guidelines for spike-in normalization. A team of researchers at the University of California San Diego (CA, USA) have ...

Data normalization facilitates the flow of data across front-, middle-, and back-office operations—in both directions. For example, when Broadridge provides dashboards with real-time lifecycle data to ...