Dive deeper into graph & beyond
White papers, webinars, courses, and other useful resources to start and expand your journey to multi-model.
Across industries, fraud is a growing problem resulting in a global annual loss of $3.7 trillion. Fraudsters became more sophisticated in hiding their activities by forming fraud rings, using stolen identities and other patterns. Traditional approaches still focus on discrete data missing many opportunities to identify or prevent fraud.
Multi-model lets organizations see data from different perspectives, its context and detect fraud patterns with graph database technology even within large scale datasets. In this white paper we will show how to convert data from relational to multi-model graphs, how various fraud detection queries work in ArangoDB’s Query Language (AQL) and how Fraud Detection can be done at scale with ArangoDB.
If you made your first steps with AQL, played around with a few queries and now want to speed things up a bit, this course is for you.
Recent Webinars Recordings
Jörg Schad and Heiko Kernbach from ArangoDB introduce you to the upcoming Custom Pregel Feature in ArangoDB 3.8 and how you can change you Pregel algorithms on the fly, without restarting the database or writing any C++ code.