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Community Notebook Challenge
Calling all Community Members! 🥑
Today we are excited to announce our Community Notebook Challenge.
What is our Notebook Challenge you ask? Well, this blog post is going to catch you up to speed and get you excited to participate and have the chance to win the grand prize: a pair of custom Apple Airpod Pros.
(more…)Introducing ArangoDB 3.8 – Graph Analytics at Scale
Estimated reading time: 5 minutes
We are proud to announce the GA release of ArangoDB 3.8!
With this release, we improve many analytics use cases we have been seeing – both from our customers and open-source users – with the addition of new features such as AQL window operations, graph and Geo analytics, as well as new ArangoSearch functionality.
(more…)Entity Resolution in ArangoDB
Estimated reading time: 8 minutes
This post will dive into the world of Entity Resolution in ArangoDB. This is a companion piece for our Lunch and Learn session, Graph & Beyond Lunch Break #15: Entity Resolution.
In this article we will:
- give a brief background in Entity Resolution (ER)
- discuss some use-cases for ER
- discuss some techniques for performing ER in ArangoDB
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.
(more…)Word Embeddings in ArangoDB
Estimated reading time: 12 minute
This post will dive into the world of Natural Language Processing by using word embeddings to search movie descriptions in ArangoDB.
In this post we:
- Discuss the background of word embeddings
- Introduce the current state-of-the-art models for embedding text
- Apply a model to produce embeddings of movie descriptions in an IMDb dataset
- Perform similarity search in ArangoDB using these embeddings
- Show you how to query the movie description embeddings in ArangoDB with custom search terms
Introducing Developer Deployments on ArangoDB ArangoGraph
Estimated reading time: 4 minutes
Today we’re announcing the introduction of Developer deployments as a beta feature on the ArangoGraph platform.
In this blog post, we’ll tell you what Developer deployments are, what you can do with them, what you should not do with them, and how to get started.
(more…)ArangoBNB Data Preparation Case Study: Optimizing for Efficiency
Estimated reading time: 18 minutes
This case study covers a data exploration and analysis scenario about modeling data when migrating to ArangoDB. The topics covered in this case study include:
- Importing data into ArangoDB
- Developing Application Requirements before modeling
- Data Analysis and Exploration with AQL
This case study can hopefully be used as a guide as it shows step-by-step instructions and discusses the motivations in exploring and transforming data in preparation for a real-world application.
The information contained in this case study is derived from the development of the ArangoBnB project; a community project developed in JavaScript that is always open to new contributors. The project is an Airbnb clone with a Vue frontend and a React frontend being developed in parallel by the community. It is not necessary to download the project or be familiar with JavaScript for this guide. To see how we are using the data in a real-world project, check out the repository.