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Combat Fraud with Graph
Estimated reading time: 5 minutes
Fraud is one of the most significant issues facing businesses today. While companies have always faced fraud, detecting fraudulent activity has become even more challenging due to increased online transactions. Globally, fraud results in more than $3.7 trillion in annual losses (Murphy, 2022). Fraud comes in numerous forms, including but not limited to money laundering, identity theft, account takeover, and payment fraud. Due to the variety of ways companies can face fraud, they must have a system to protect themselves and their customers.
Read moreWhat is a Graph Database?
Estimated reading time: 10 minutes
Introduction
Graphs occur everywhere in everyday life: your network of friends, the network of roads you drive on, and the supply chain of factories, ships, and roads that brought you the device you’re reading this on. While it might be easy to connect the dots on how most things can be shown as a graph, what makes a database a graph database? That is the question you will have the answer to in this blog post, but to put it simply: a graph consists of nodes, edges, and properties representing the relationships within data.
In this article, we will discuss:
- What is a graph?
- What is a graph database?
- Different types of graph databases.
- Graph database use cases.
Inside the Avocado Grove: From Canada to Germany and the Digital Marketing of Avocados
Estimated reading time: 8 minutes
My name is Laura, and I am responsible for digital marketing here at ArangoDB.
In the following post, I will dive into my own experience working at ArangoDB and how I ended up from Northern Ontario, Canada to work in Germany at a native multi-model graph database company. Are you interested in learning more about working abroad, working remotely, or diving into a new industry? This post covers all of the above topics.
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