Building a Movie Recommendation System Using TigerGraph
Recommendation systems are used in our daily life for a variety of reasons including products, movies, music, news, and books. These recommendations are based on the user’s historical behavior and…
Anti-Money Laundering (AML) Non-Compliance is Injurious to Your Business’ Health
On June 3 2018, the Commonwealth Bank of Australia was fined $700 million for AML non-compliance. Some of the problem areas at the bank included: Failure to properly monitor transactions for…
It Is Time for A Modern Graph Query Language
The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see…
Crossing the Chasm – Eight Prerequisites For A Graph Query Language
Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient…
Finding Needles in a Haystack with Graph Databases and Machine Learning
You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What is Machine Learning and why…
TigerGraph: The parallel graph database explained
Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both performance and analysis capabilities—when the volume of data grows…
Blockchain, Bitcoin and The Art of Rolls Royce Repair
Two questions always come up when I tell people that I work on blockchain. The first question is “Where do I get started with blockchain in my organization?” and that’s…
