The Data Science Lab Data Prep for Machine Learning: Normalization Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric ...

Summary In general, data normalization establishes a foundation for achieving semantic interoperability and creates an infrastructure that enables data sharing and aggregation.

It’s tempting just to replicate all databases in the cloud, but it’s a much better approach to get your data house in order as part of the move. Last week I discussed database normalization as ...

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 ...

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 ...

Why data normalization is more than a technology initiative The sprawl of data throughout the typical healthcare organization presents three formidable challenges.

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 ...