Category: Document Stores

Feed: Blog – ArangoDB. Author: Cris Miranda Ruiz. We’ve been spending quite a bit of time preparing something really exciting for our community this year: we’re thrilled to announce ArangoDB’s first-ever virtual developer conference taking place October 18th through the 22nd, 2021. ArangoDB Dev Days will be a five-day event, packed with more than 23 hours of content, a large roster of all-star speakers, and transmitted via Zoom to audiences all over the globe. And the best part? All of it is free. Our team is hard at work finalizing their sessions for the conference. Each day will feature 4 ... Read More

Feed: Blog – ArangoDB. Author: Edgar Lanting. A detailed journey into deploying a DC2DC replicated environment When we thought about all the things we wanted to share with our users there were obviously a lot of topics to choose from. Our Enterprise feature; ArangoSync was one of the topics that we have talked about frequently and we have also seen that our customers are keen to implement this in their environments. Mostly because of the secure requirements of having an ArangoDB cluster and all of its data located in multiple locations in case of a severe outage.  This blog post ... Read More

Feed: Blog – ArangoDB. Author: Sachin Sharma. This blog post provides a comprehensive study on the theoretical and practical understanding of GraphSage, this notebook will cover: What is GraphSageNeighborhood SamplingGetting Hands-on Experience with GraphSage and PyTorch Geometric LibraryOpen-Graph-Benchmark’s Amazon Product Recommendation DatasetCreating and Saving a modelGenerating Graph Embeddings Visualizations and Observations Important Note!!¶If you are running this notebook on Google Colab, please make sure to enable hardware acceleration using either a GPU or a TPU. If it is run with CPU-only enabled, generating the word embeddings will take an incredibly long time! Hardware acceleration can be enabled by navigating to Runtime ... Read More

Feed: Blog – ArangoDB. Author: Vaidas Gasiunas. This article presents a case study of using AQL queries for detecting complex money laundering and financial crime patterns. While there have been multiple publications about the advantages of graph databases for fraud detection use cases, few of them provide concrete examples of implementing detection of complex fraud patterns that would work in real-world scenarios.  This case study is based on a third-party transaction data generator, which is designed to simulate realistic transaction graphs of any size. The generator disguises complex financial fraud patterns of two kinds:  Circular money flows: a big amount ... Read More

Feed: Blog – ArangoDB. Author: Joerg Schad. 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. If you want to get your hands on ArangoDB 3.8, you can either download the Community or Enterprise Edition, pull our Docker images, or start a free trial of our managed service Oasis. As with any release, ArangoDB 3.8 ... Read More

Feed: Blog – ArangoDB. Author: Victor Moey. 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 ERdiscuss some techniques for performing ER in ArangoDB What is Entity Resolution? Entity Resolution is the process of disambiguating records of real-world entities that are represented multiple times in a database or across multiple databases.   An entity is a unique thing (person, company, product etc.) in ... Read More

Feed: Blog – ArangoDB. Author: Laura Cope. 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. Who am I? The short version: I am 24 years old and have lived in Germany for almost two and ... Read More

Feed: Blog – ArangoDB. Author: Alex Geenen. 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 embeddingsIntroduce the current state-of-the-art models for embedding textApply a model to produce embeddings of movie descriptions in an IMDb datasetPerform similarity search in ArangoDB using these embeddingsShow you how to query the movie description embeddings in ArangoDB with custom search terms N.B. Before you run this notebook!!!¶If you are running this notebook on Google Colab, please make sure to enable hardware acceleration using ... Read More

Feed: Blog – ArangoDB. Author: Ewout Prangsma. Today we’re announcing the introduction of Developer deployments as a beta feature on the Oasis 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. What are Developer deployments? Since we launched Oasis, a deployment on Oasis has always been a highly available ArangoDB cluster. That is great for high availability, and it allows you to scale your deployment to incredibly large sets of data. Many customers have told us that they would ... Read More

Feed: Blog – ArangoDB. Author: Christopher Woodward. 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 ArangoDBDeveloping Application Requirements before modelingData 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 ... Read More