data science Archives - ArangoDB

Sign up for ArangoGraph Insights Platform

Before signing up, please accept our terms & conditions and privacy policy.

What to expect after you signup
You can try out ArangoDB Cloud FREE for 14 days. No credit card required and you are not obligated to keep using ArangoDB Cloud.

At the end of your free trial, enter your credit card details to continue using ArangoDB Cloud.

If you decide that ArangoDB Cloud is not (yet) for you, you can simply leave and come back later.

What is a Graph Database?

00ArangoML, Data Science, Future-of-nosql, General, Machine Learning, PublicationTags: , ,

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.
More info
data-science-personas-banner

Who’s Who in Data Science

00ArangoML, Data Science, Future-of-nosql, General, Machine Learning, PublicationTags: , , , , , ,

Estimated reading time: 10 minutes

Multiple data science personas participate in the daily operations of data logistics and intelligent business applications. Management and employees need to understand the big picture of data science to maximize collaboration efforts for these operations. This article will highlight the specialized roles and skillsets needed for the different data science tasks and the best tools to empower data-driven teams. You will come away from this article with a better understanding of how to support your own data science teams, and it is valuable for both managers and team members alike.

More info