ArangoDB Graph & Beyond Lunch Break
In order to keep in better touch with our community, we invite you to join us for our ‘Graph & Beyond’ lunch break series.
Every two weeks on Wednesday, we present you with a new 10-15min talk to learn more about ArangoDB – different use cases, new features we’re working on – delivered directly to your inbox. Grab some lunch, settle in your favorite chair, and watch a talk filled with practical examples for ArangoDB.
#15.5 – Aggregating Time-Series Data with AQL
August 4th, 2021 – 12 pm
In this special 3.8 release lunch break session, we will take a look at the two syntax variants of the WINDOW operation and go over a few examples queries with visual explanations.
#16 – ArangoDB for Beginners
August 11th, 2021 – 12 pm
In this lunch session, join Digital Marketing Manager Laura Cope who will give a basic introduction to ArangoDB and the different services ArangoDB has to offer through a non-technical description.
#17 – Introduction to Foxx Microservices
August 25th, 2021 – 12 pm
Sit down with Chris Woodward as he shows you the ingredients that make Foxx work so well and then see how to cook up your first Foxx microservice in this ArangoDB Lunch Session.
#15 – Entity Resolution
In this lunch session, we show why a graph database is well-suited for Entity Resolution together with a demo in ArangoDB.
#14 – Monitoring ArangoDB
In this lunch session, learn how to set up and read monitoring on ArangoDB instances, and take a walk through the most significant metrics and discuss alerting based on them.
#12 – Knowledge Graphs
This lunch session is an introductory video and focuses on the general concepts of knowledge graphs. This video will answer the questions of what is a graph database, what is a knowledge graph, and how do you build a knowledge graph.
#11 – Fuzzy Search
Fuzzy search is an umbrella term for approximate matching in text retrieval. A common application is to compensate for typos in search phrases. In this Lunch Session, we will take a look at different similarity measures and show how fuzzy search works in ArangoDB.
#10 – Oasisctl: Providing Full Control of your Oasis Cluster
In this Learn Break session, Site Reliability Engineer Marcin Swiderski will give an overview of Oasisctl, a tool created by the ArangoDB Oasis team in order to help automate common Oasis tasks.
#9 – ArangoML
In this Graph & Beyond Lunch Session Jörg Schad will give an overview of different parts of the ML pipeline and how ArangoDB fits in. In particular, we will be talking about feature engineering, Graph ML, Embeddings, MLOps, and Metadata.
#8 – Introduction to ArangoBnB
#7 – Getting Started with ArangoDB Oasis
Looking to get a glimpse of ArangoDB Oasis, the managed service for ArangoDB? In this Lunch Break, Senior Software Developer Robert Stam will introduce the Oasis platform.
#6 – AQL Query Performance Optimization 101 (Part II)
This is Part 2 of the Lunch Break sessions covering the basics of AQL query performance optimization. This Lunch Break session covers AQL query performance optimizations for cluster setups. It is a follow-up session to the AQL query performance optimization session from 2 weeks earlier.
#5 – AQL Query Performance Optimization 101 (Part I)
This is Part 1 of two Lunch Break sessions covering the basics of AQL query performance optimization. Jan Steemann demonstrates if and how index setup can help AQL query performance.
#4 – Graph Analytics with ArangoDB
In this Graph & Beyond Lunch Session you learn about Graph Analytics with ArangoDB. We will take a short look at different graph algorithms such as Community Detection, Centrality Measures, and Recommendation, but also discuss challenges of scaling such analytics to enterprise use cases.
#3 – AQL for eCommerce Analytics
During this Lunch Session we will showcase various AQL queries to analyze an eCommerce dataset for common questions in retail, like:
- What products are offered?
- Where are they located in my store?
- Which are the best selling products?
- What can the data tell me about shopper purchasing behaviors?
#2 – ArangoSearch: Where Full-Text Search and Graphs Meet
In this Graph and Beyond Lunch session we will cover ArangoSearch, the full-text search engine natively integrated into ArangoDB. Chris Woodward will give an overview of how you can combine a wide range of search queries (e.g., phrase, proximity, or range), ranking (e.g., BM25 or TFIDF algorithms) and ArangoDB’s other data models (e.g., graph or document).
#1 – Fraud Detection with ArangoDB
We are going to use the multi-model graph capabilities within ArangoDB to identify fraud patterns (as used for money laundering) in financial datasets and catch some bad guys! Jackson Reimers will show various fraud patterns and how to detect them, using the ArangoDB graph visualizer.