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Welcome to the tenth ArangoDB newsletter of 2021.
This month, we are happy to be able to share:
- Our developer conference, ArangoDB Dev Days, is available on demand
- The latest and greatest from our blog about understanding GraphSage
- Our last Graph & Beyond Lunch Break, Advanced Aggregation Queries with AQL
- Community spotlight on a new notebook on ArangoDB and AQL in Portuguese (and more!)
- Our growing avocado grove (aka we are hiring!)
ArangoDB Dev Days: Available On-Demand
Last month, we held our first-ever virtual developer conference: ArangoDB Dev Days.
We had a blast spending the week with the ArangoDB community, and are now even more happy to share that all five days of talks, including our hands-on workshops, are available on demand.
There’s a lot of content to sift through, so take your time, but we hope you enjoy learning more about what’s in store for ArangoDB.
From the Blog: A Comprehensive Case Study of GraphSage
Check out our latest blog post that presents a comprehensive study on the theoretical and practical understanding of GraphSage. It covers:
- What is GraphSage
- Neighbourhood Sampling
- Getting Hands-on Experience with GraphSage and PyTorch Geometric Library
- Open-Graph-Benchmark’s Amazon Product Recommendation Dataset
- Creating and Saving a model
- Generating Graph Embeddings Visualizations and Observations
Graph & Beyond Lunch Break: Advanced Aggregation Queries with AQL
In our final Lunch Break of 2021, Simran will explore more variants of the COLLECT operation, including COLLECT with AGGREGATE as an efficient way to compute statistical properties during grouping.
Wednesday, November 17th 2021 – 12:00pm (in your local time zone)
Community Spotlight: ArangoDB & AQL in Portuguese Community Notebook
Do you have a project or tool that the ArangoDB community might be interested in?
If so, we would love to add it to our growing list of repositories in the ArangoDB Community GitHub organization. This GitHub organization serves as a place for more people to find out about your project, and even help you develop it!
Our Interactive Tutorials repository has a library of Python notebooks available covering the full spectrum of ArangoDB features, and we welcome any additions from the community.
Criando e analisando dados com AQL (AQL in Portuguese Notebook)
This week we are excited to show off a community notebook: ArangoDB & AQL in Portuguese!
This notebook, submitted by GitHub community member Janio de Souza Lima (janiosl), walks you through getting started with ArangoDB and AQL in Portuguese. It’s a great place to get started with ArangoDB and Python.
A word from Janio:
Este notebook foi desenvolvido por Janio Lima como parte das atividades do mestrado em Ciência da Computação com ênfase em Ciência de Dados do CEFET/RJ, onde sou orientado pelo Prof. Eduardo Ogasawara, mas recebeu sugestões dos colegas Cristiane Géa e Tácito Araripe, bem como foi originado a partir de desafios propostos na disciplina Banco de Dados, ministrada pelo Prof. Jorge Soares, no referido curso.
Conteúdos complementares em vídeo para acompanhar cada sessão do notebook, bem como estudar aspectos adicionais do ArangoDB estão disponíveis em meu canal do YouTube Python DS nos links a seguir:
Check out the notebook in our Community Notebooks section here, and be sure to open a PR to add your own!
Where else can you find ArangoDB?
- November 18: Big Things Conference 2021 – Production-Grade ML Pipelines: From Data to Metadata
- December 3: Connected Data World 2021 – Graph Analytics vs. Graph ML
- December 10: ML Summit 2021 – Graph-Powered Machine Learning: Part 1 and Part 2
From the Avocado Grove: We’re Hiring!
We recently announced a $27.8 million Series B funding round, which means – you guessed it – Team Avocado is continuing to grow 🥳
We have more than 40 open positions (almost all fully-remote) across Engineering, Marketing, Product Management, Sales, Support, and Recruiting.
Would you like to join Team Avocado? Check out our open positions here.
ArangoDB recognized as Leader on G2
We couldn’t be more thrilled to be recognized by our users as a Graph Database Leader on G2 Crowd.
Are you happy with how things are going with ArangoDB so far, and have a few minutes to spare? Then take a break from coding and write a review about your experience on G2.
We hope you enjoyed our latest news!
Until next time 🖖
The ArangoDB Team