Trends in Data Modeling: Real-Time Integration for Cognitive Computing

Published : 18/06/2019

Data Modelling

The data modeling process is arguably the nucleus of deploying cognitive computing technologies and applications across the enterprise today, largely because it’s a requisite for integrating those applications and their data for horizontal use cases.

Consequently, data modeling techniques have kept pace with contemporary data sources and deployments whose value, in most instances, hinges on low latency responses. In 2019, conventional relational data modeling approaches will all but lapse into obsolescence as numerous alternatives—in most cases, purpose-built for real-time use cases integrating heterogeneous data sources—surge to the fore of this facet of data management.