Optimized Counting of Common Neighbors/Vertices in GSQL
By Prateek AgrawalGraph analytics plays a crucial role in finding hidden relationships within large datasets. One fundamental operation in this domain is calculating the number of common neighbors between pairs…
Advancing Entity Resolution for Fraud Detection with TigerGraph
First in our series of blogs straight from our engineers to you. In today's digitally interconnected world the proliferation of data has presented both unprecedented opportunities and challenges. One of…
The Power Of Graph Analytics For Performing Entity Resolution
The Power Of Graph Analytics For Performing Entity Resolution
Using A Graph Database for Big Data Entity Resolution
We’re Being Deluged By Data According to market intelligence company IDC, the “Global Datasphere” in 2018 reached 18 zettabytes. (Yes, that zettabytes!) And the problem is only going to get…
Entity Resolution with a Native Parallel Graph DatabaseEntity Resolution,
Entity Resolution with a Native Parallel Graph Database
Graph-Based Customer Entity Resolution
1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their products, their employees, etc. The…