Tag: Graph Databases
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Machine Learning and Deep Link Graph Analytics: A Powerful Combination
By Yu Xu (founder and CEO, TigerGraph) and Gaurav Deshpande (VP of Marketing, TigerGraph) Machine learning (ML) – an aspect of artificial …
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How to Avoid Doppelgängers in a Graph Database
Upserting is a way of inserting data where a new entity is only created if it doesn’t exist already. If the data already exists, then it …
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G DATA Techblog: Malware Analysis with a Graph Database
Graph databases are growing in popularity because their connection-oriented data model is a natural fit for many domains where the …
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Graph Algorithms in Neo4j: Neo4j Graph Analytics
At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To …
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Graph Algorithms in Neo4j: Use Cases for Graph Transactions and Analytics
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate …
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Fighting Cyber Fraud With Real-Time Graph Analytics
The fast rise of digital payments and high profile data breaches is driving cyber fraud to record levels. According to the Javelin’s …
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Graphs Are a Game-Changer for Cybersecurity
“Cyber threat intelligence is high volume, unstructured, and highly related. That last attribute makes it great for …
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Fighting Money Laundering and Corruption With Graph Technology
The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise …
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In the NYC enterprise startup scene, security is job one
While most people probably would not think of New York as a hotbed for enterprise startups of any kind, it is actually quite active. When …
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