3 years ago

Category: Business, Database, Data, machine-learning, artificial-intelligence

by When we used to think about data, it was most often in regard to where data was going to be stored and how we would manage it.

However, there is concern in the industry — this feeling that more can be done with the data that is currently captured.

Because when tabular data is moved into a graph and relationships are added, a context gets created that provides a new frame to view the data through.

And because graph databases hold data and the relationships between that data allow for easy and intuitive querying, they will continue to help industries gain deeper insights into their ever-accumulating cache of data to better serve their customers.