Knowledge Graphs 101: How to Overcome a Major Enterprise Liability and Unleash Massive Potential


By filling out this or any DATAVERSITY® form, as applicable by local privacy laws, you agree to receive marketing e-mail notifications from DATAVERSITY, listed sponsors, and listed partners. Just click the “unsubscribe” or "Manage Your Email Subscriptions" link in any e-mail to unsubscribe.

Sponsored by:

About the Paper

Enterprises must transition to contextualizing their data instead of just collecting it in order to fully leverage their data as a strategic asset. Existing data management solutions such as databases and data lakes encourage data sprawl and duplication. However, true data unification can be achieved with a Knowledge Graph, which seamlessly layers on top of your existing data infrastructure to reveal the interrelationships in your data, no matter its source or format. The Knowledge Graph is also a highly scalable solution since it retains every analysis performed as a reusable asset -- drastically reducing the need for data wrangling over time.

Download Knowledge Graphs 101 to learn how this technology differs from a graph database, how it compares to MDM and data lake solutions, and how to leverage artificial intelligence and machine learning within a Knowledge Graphs.

Data Education for Business and IT Professionals