Generic industry data models do have a place, but they serve as a kick-start to the modeling process, not the destination. Consider an address; organizations may break address components apart in ...

A proper database design cannot be thrown together quickly by novices. A practiced and formal approach to gathering data requirements and modeling data is mandatory. This modeling effort requires a ...

At the core of Narrative's approach is a "collaboration-first" philosophy. Users can now access a broad range of datasets—from proprietary and partner sources to publicly available and marketplace ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...

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 a best ...

CONCORD, Calif.--(BUSINESS WIRE)--As building owners become increasingly interested in advanced tools to better manage their properties, Buildings IOT released the OAP (Ontology Alignment Project).