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 ...

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 ...

One of the most important but least told stories of the “big data” revolution is the way in which the denominator and normalization have all but vanished from data science.

Normalization aims to minimize redundancy and dependency by eliminating duplicate data and breaking down larger tables into smaller, more manageable ones.

Clean Data as a Solution offers product and data normalization functionality to support specific use cases such as integration, patient matching, aggregation, normalization, terminology and enrichment ...

Many people seem to become filled with anxiety over the word 'normalization.' Mentioning the word causes folks to slowly back away toward the exits. Why? What might have caused this data modeling ...