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.

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database ...

The source data is named people_clean.txt and has only 12 lines to keep the main ideas of data normalization as clear as possible. The number of lines in the file could have been determined by a call ...

The source data is named people_clean.txt and has only 12 lines to keep the main ideas of data normalization as clear as possible. The number of lines in the file could have been determined by a call ...

When it comes to a normalization service - and the database of information which underpins it - there are certain nuances which need to be considered. So it''s timely to take a closer look and ...

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, ...

This process of normalization involves converting data from its proprietary format so it can be used by any integrated solution, such as DCIM, BMS, ITSM, ERP and other applications that provide ...

Arguably, the two biggest challenges in the FAST ecosystem are managing the ad experience and delivering ROI for the brands that support the platform. Experts, from Fremantle's Laura Florence to Fuse ...

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 ...

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