Events page

Are you interested in doing a Meetup?

Interested in doing a talk about ArangoDB at our online meetup or at your local user group? Already an organizer of Big Data, Graph, DevOps or related Meetup? Reach out! We’d be happy to come out and support your event with a talk, workshop and goodies sponsorship!

Upcoming events

Operatorcon

operatorcon 2020

Online Session: “Challenges in Building a Multi-Cloud-Provider Platform With Managed Kubernetes”

2020-04-07 2020-04-07 Challenges in Building a Multi-Cloud-Provider Platform With Managed Kubernetes https://loodse.webinargeek.com/operatorcon_challenges-in-building-a-multi-cloud-provider-platform-with-managed-kubernetes Online Session April 7, 2020    Online Session

This talk discusses the experiences made while building the ArangoDB Managed Service offering across and GKE, AKS, or EKS. While the (managed) Kubernetes API being a great abstraction from the actual cloud provider, a number of challenges remain including for example networking, autoscaler, cluster provisioning, or node sizing. This talk provides an overview of those challenges and also discuss how they were solved as part the ArangoDB managed Service.

Subscribe to the Webinar and you will receive confirmation per email.

Online Meetup

Meetup

Community Pioneer: “Machine Learning + Immunology, how ArangoDB Saved My Life”

2020-04-15 2020-04-15 Machine Learning + Immunology, how ArangoDB Saved my Life https://www.meetup.com/online-ArangoDB-meetup/events/269743581/ Online Meetup April 15, 2020    Online Meetup

Join us for the next exciting online talk from our Community Pioneer, Tariq Daouda.  During this meetup, Tariq will talk about how he used ArangoDB for managing data set and experiments and for ensuring reproducible results.

April 15, 2020 – 11AM PST/ 2PM EST/ 8PM CEST

Meetup

Meetup

JavaScript Armenia Meetup: “Seperate Your Data Access Layer With Typescript Powered Microservices”

2020-04-18 2020-04-18 Seperate your Data Access Layer with Typescript Powered Microservices https://www.eventbrite.com/e/javascript-armenia-meetup-1-tickets-92986259405?fbclid=IwAR2lYEAq5kZG_OfXvbdANcTkIsr-RklR0ZUO7-zZ1EcnqJrAWnLUAJRLyTs Armenia April 18, 2020    Armenia

We would like annouce our Community Pioneer Gurgen Hayrapetyan as he explains how he built his own project on ArangoDB.

Saturday, April 18, 2020 from 12:00 PM to 5:00 PM (Armenia Standard Time)

ODSC East 2020

ODSC conference logo

Jörg Schad, Tutorial: “Graph Powered Machine Learning”

2020-04-13 2020-04-17 ODSC East 2020 Virtual Conference April 13 - 17, 2020    Virtual Conference

Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization and other NLP tasks. There are even more applications once we consider data pre-processing and feature engineering which are both vital tasks in Machine Learning Pipelines. In this course, we will investigate the intersection of graphs and Machine Learning.

DevOpsCon Berlin

Devopscon Munich

Jörg Schad: “Challenges in Building a Multi-Cloud-Provider Platform With Kubernetes”

2020-06-08 2020-06-11 DevOpsCon Berlin Berlin, Germany June 08 - 11, 2020    Berlin, Germany

Building a cloud-agnostic platform used to be a challenging task as one had to deal with a large number of different cloud APIs and service offerings. Today, as most Cloud providers are offering a managed Kubernetes solution (e.g., GKE, AKS, or EKS), it seems like developers could simply build a platform based on Kubernetes and be cloud-agnostic. While this assumption is mostly correct, there are still a number of differences and pitfalls when deploying across those managed Kubernetes solutions.

Stackconf2020: The Open Source Infrastructure Conference

Jörg Schad: “Challenges in Building a Multi-Cloud-Provider Platform With Kubernetes”

2020-06-17 2020-06-18 Stackconf2020 Berlin, Germany June 17 - 18, 2020    Berlin, Germany

Building a cloud-agnostic platform used to be a challenging task as one had to deal with a large number of different cloud APIs and service offerings. Today, as most Cloud providers are offering a managed Kubernetes solution (e.g., GKE, AKS, or EKS), it seems like developers could simply build a platform based on Kubernetes and be cloud-agnostic. While this assumption is mostly correct, there are still a number of differences and pitfalls when deploying across those managed Kubernetes solutions.

Developer Week Seattle: Cloud Edition

Developers Week Seattle: Cloud Edition

Jörg Schad and Chris Woodward: “Challenges in Building Multi-Cloud-Provider Platform With Managed Kubernetes”

2020-09-28 2020-09-29 Developers Week Seattle: Cloud Edition Seattle, USA September 28-29, 2020    Seattle, USA

Building a cloud-agnostic platform used to be a challenging task as one had to deal with a large number of different cloud APIs and service offerings. Today, as most Cloud providers are offering a managed Kubernetes solution (e.g., GKE, AKS, or EKS), it seems like developers could simply build a platform based on Kubernetes and be cloud-agnostic. While this assumption is mostly correct, there are still a number of differences and pitfalls when deploying across those managed Kubernetes solutions.

Developer Week Seattle: Cloud Edition

Jörg Schad and Max Neunhöffer: “The Case for a Common Graph-Based Metadata Layer for Machine Learning Platforms”

2020-10-14 2020-10-16 J on the Beach Malaga, Spain October 14 - 16, 2020    Malaga, Spain

In this talk, we look at existing implementations, in particular MLMD as part of the TensorFlow ecosystem. Further, propose a first draft of a (MLMD compatible) universal  Metadata API. We demo the first implementation of this API using ArangoDB.

Past events

Online Meetup

Meetup

Community Pioneer: “RecallGraph – A versioning data store for time -variant graphs built on ArangoDB”

2020-03-19 2020-03-19 RecallGraph - A versioning data store for time-variant graphs built on ArangoDB https://www.meetup.com/online-ArangoDB-meetup/events/269157496/ Online Meetup March 19, 2020    Online Meetup

We would like welcome you to join a hands-on talk from our Community member –  Aditya Mukhopadhyay as he explores RecallGraph – a Foxx Microservice for ArangoDB.

March 19th 2020 – 8:30 AM EDT / 1:30 PM CET / 6 PM IST

Webinar

ArangoDB Logo

gVisor, Kata Containers, Firecracker, Docker: Who is Who in the Container Space?

2020-03-11 11:00:00 2020-03-11 11:45:00 America/Los_Angeles gVisor, Kata Containers, Firecracker, Docker: Who is Who in the Container Space? In this talk, we will provide an overview of the different containerization technologies, discuss their tradeoffs, and provide guidance for different use cases.We will define the term container in more detailed during the talk and yes we will also cover some of the pre-docker container space!. Find more info here: https://www.arangodb.com/arangodb-events/gvisor-kata-containers-firecracker-docker/> Zoom link will be sent to your inbox after registration March 11, 2020 - 11am PT/ 1pm ET/ 7pm CET

In this talk, we will provide an overview of the different containerization technologies, discuss their tradeoffs, and provide guidance for different use cases.

* We will define the term container in more detailed during the talk
** and yes we will also cover some of the pre-docker container space!

Join the Head of Engineering and Machine Learning, Jörg Schad in this webinar.

Online Meetup

Meetup

Community Pioneer Online Meetup: “Separate Your Data Access Layer With TypeScript Powered MicroServices”

2020-03-04 2020-03-04 Separate Your Data Access Layer With TypeScript Powered MicroServicesm https://www.meetup.com/online-ArangoDB-meetup/events/268852525/ Online Meetup March 4, 2020    Online Meetup

We would like to welcome you to the hands-on talk from our Community member – Gurgen Hayrapetyan, who will speak live about his project – ArangoDB Foxx Service Template with TypeScript & Yarn 2.0 Support.

March 4th 2020 – 9AM PT/ 12PM ET/ 6PM CET

Production-grade ML pipelines Meetup

Meetup

Jörg Schad ” Production-grade ML Pipelines – From Data To Metadata”

2020-02-27 2020-02-27 Workshop: Building and Operating an Open Source Data Science Platform Zurich, Switzerland February 27, 2020    Zurich, Switzerland

In this talk, we look at existing implementations, in particular, MLMD as part of the TensorFlow ecosystem. Further, we propose the first draft of an (MLMD compatible) universal Metadata API. We demo the first implementation of this API using ArangoDB.

Workshop: Building and Operating an Open Source Data Science Platform

Meetup

Jörg Schad “Production – grade ML Pipeline”

2020-02-27 2020-02-27 Workshop: Building and Operating an Open Source Data Science Platform Zurich, Switzerland February 27, 2020    Zurich, Switzerland

This workshop gives an overview into building a complete automated deep learning pipeline starting with exploratory analysis, overtraining, model storage, model serving, and monitoring and answer questions.

Dutch Kubernetes/Cloud-Native Meetup

Meetup

Jörg Schad & Ewout Prangsma: “Challenges in Building Multi-Cloud-Provider Platform With Managed Kubernetes”

2020-02-19 2020-02-19 Dutch Kubernetes Meetup goes to Utrecht: Creative Valley and nexxbiz hosting Utrecht, Netherlands February 19, 2020    Utrecht, Netherlands

This talk discusses the experiences made while building the ArangoDB Managed Service offering across and GKE, AKS, or EKS. While the (managed) Kubernetes API being a great abstraction from the actual cloud provider, a number of challenges remain including for example networking, autoscaler, cluster provisioning, or node sizing. This talk provides an overview of those challenges and also discuss how they were solved as part the ArangoDB managed Service.

Webinar

ArangoDB Logo

ArangoML Pipeline Cloud – Manage Machine Learning Metadata

2020-02-13 10:00:00 2020-02-13 10:45:00 America/Los_Angeles Webinar: ArangoML Pipeline Cloud - Manage Machine Learning Metadata We are happy to announce a release of ArangoML Pipeline Cloud. Now you can start using ArangoML Pipeline without having to even start a separate docker container. In this webinar, we will show how to leverage ArangoML Pipeline Cloud with your Machine Learning Pipeline by using an example notebook from the TensorFlow tutorial. Find more info here: https://www.arangodb.com/arangodb-events/arangoml-pipeline-cloud/ Zoom link will be sent to your inbox after registration February 13, 2020 - 10am PT/ 1pm ET/ 7pm CET

In this webinar, we will show how to leverage ArangoML Pipeline Cloud with your Machine Learning Pipeline by using an example notebook from the TensorFlow tutorial.

Join our Head of Engineering and Machine Learning, Jörg Schad and our Developer Engineer Chris Woodward, in this release webinar to learn more about the ArangoML Pipeline Cloud and how it can benefit your applications.

Webinar

ArangoDB Logo

ArangoDB 3.7 Roadmap: Performance at Scale

2020-02-12 10:00:00 2020-02-12 10:45:00 America/Los_Angeles ArangoDB 3.7 Roadmap: Performance at Scale After the release of ArangoDB 3.6 we are starting to work on the next version with even more exciting features. As an open-source project we would love to hear your ideas and discuss the roadmap with our community. Would you like to learn more about Satellite Graphs, Schema Validation, a number of performance and security improvements? Than join Jörg Schad, Head of Engineering and Machine Learning at ArangoDB, who will share the latest plans for the upcoming ArangoDB 3.7 release as well as the long term roadmap. Find more info here: https://www.arangodb.com/arangodb-events/3-7-roadmap-performance-at-scale/ Zoom link will be sent to your inbox after registration February 12, 2020 - 10am PT/ 1pm ET/ 7pm CET

After the release of ArangoDB 3.6 we are starting to work on the next version with even more exciting features. As an open-source project we would love to hear your ideas and discuss the roadmap with our community.

Would you like to learn more about Satellite Graphs, Schema Validation, a number of performance and security improvements?

Than join Jörg Schad, Head of Engineering and Machine Learning at ArangoDB, who will share the latest plans for the upcoming ArangoDB 3.7 release as well as the long term roadmap.

Global Graph Summit/Data Day Texas

data day texas 2020

ArangoDB @ Global Graph Summit 2020

2020-01-25 2020-01-25 Global Graph Summit @ Data Day Texas Austin, TX, USA January 25, 2020    Austin, TX, USA

Look forward to meeting us at the Global Graph Summit 2020 at the ArangoDB booth and more! Details to follow soon.

Webinar

ArangoDB Logo

What’s new in ArangoDB 3.6?

2020-01-22 10:00:00 2020-01-22 10:45:00 America/Los_Angeles What's new in ArangoDB 3.6: OneShard deployment, AQL performance improvements and enhanced ArangoSearch capabilities Version 3.6 comes with a new OneShard deployment which is designed for use cases where you don't need horizontal scalability, but still rely on high availability, fault tolerance and query performance which is similar to a single server. Maybe something for your next Graph use case or multi-tenant application? We will go a bit into the details in this webinar. Find more info here: https://www.arangodb.com/arangodb-events/whats-new-arangodb-3-6/ Zoom link will be sent to your inbox after registration January 22, 2020 - 10am PT/ 1pm ET/ 7pm CET

Version 3.6 comes with a new OneShard deployment which is designed for use cases where you don’t need horizontal scalability, but still rely on high availability, fault tolerance and query performance which is similar to a single server. Maybe something for your next Graph use case or multi-tenant application? In this webinar, Ingo Friepoertner, the Product Manager at ArangoDB, will go a into the details on OneShard feature and other several performance improvements introduced with the 3.6 release.

DevOpsCon Munich

Devopscon Munich

Jörg Schad “gVisor, Kata Container, Firecracker, Docker: Who is Who in the Container Space”

December 4-5, 2019    Munich, Germany

In this talk, Joerg provided an overview of the different containerization technologies, discussed their tradeoffs, and provided guidance for different use cases. He  defined the term container in more detail during the talk and yes, he also covered some of the pre-docker container space!

Webinar

ArangoDB Logo

ArangoDB GraphQL Spring Boot Starter

November 21, 10pm PT | 1pm ET | 7pm CET

In this webinar, Colin Findlay of JPMorgan, takes us through a runnable demo for the Arango GraphQL Spring Boot Starter. The demo implements a fictional retail bank “AvoBank” to illustrate an easily understandable use case that demonstrates the benefits of the ArangoDB GraphQL Spring Boot Starter and associated libraries. The demo contains 3 different types of backend implementation to illustrate the relationship between a traditional REST implementation, a vanilla GraphQL implementation and an implementation using GraphQL and ArangoDB with the ArangoDB Spring Boot Starter and explains why this approach is advantageous.

Big Things Conference

big things conference

The case for a common metadata layer for machine learning by Jörg Schad

November 20, 2019    Madrid, Spain

In this talk, we look at existing implementations, in particular MLMD as part of the TensorFlow ecosystem. Further, propose a first draft of a (MLMD compatible) universal Metadata API. We demo the first implementation of this API using ArangoDB.

Webinar

ArangoDB Logo

What to expect from ArangoDB’s Managed Service

November 14th, 10PM PT | 1PM ET | 7PM CET

In this live webinar, Ewout Prangsma, Architect & Teamlead of ArangoDB Oasis, will walk you through all the main capabilities of the new service, including high availability, elastic scalability, enterprise-grade security, and also demo the different deployment modes you have at your fingertips.

Big Data LDN

big data london 2019

AI Lab Theatre Session: MULTI-MODEL POWERED MACHINE LEARNING by Jörg Schad

November 14, 2019    London, UK

Using real-world examples we show how Multi-Model databases and machine learning frameworks form a very powerful combination. In particular, we will focus on graph-based Machine Learning models, as well as, graph-based data pre-processing and feature engineering (which can, in turn, serve as input for a deep neural network).

Webinar

ArangoDB Logo

Jörg Schad “ArangoDB 3.6 ⁠— The Future is Full of Features”

October 22, 2019 - 10am PT/ 1pm ET/ 7pm CEST

With the recent release of ArangoDB 3.5, you might be wondering what exciting features to expect next. In this webinar, Jörg Schad, our Head of Engineering and Machine Learning, will share our latest plans for the upcoming ArangoDB 3.6 release. Being an Open Source project, we are looking forward to community feedback and exchanging ideas about the short and long-term roadmap.

Data Architecture Summit

data Architecture Summit

Dan Larkin-York “Graphs or Tables?” (Panel Session)

October 17, 2019    Chicago, USA

Are graph databases just another tool for our data architecture toolbox, or will knowledge graphs and/or property graphs replace all other SQL and NoSQL databases for data capture and analysis? In this discussion Daniel, with the other panelists, will reveal his insights into this interesting problem, and the discussion should help you to better navigate the increasingly complex world of data architecture.

Webinar

ArangoDB Logo

Jörg Schad “From Data to Metadata for Machine Learning Platforms”

October 8, 2019 - 10am PT/ 1pm ET/ 7pm CEST

It is a common fact that data quality and quantity is a crucial aspect for building Machine Learning Models especially when dealing with Deep Learning and Neural Networks. But besides the data required to build the model itself there is another often overlooked type of data required to build a production grade Machine Learning Platform: Metadata. In this webinar Jörg Schad, our Head of Engineering and Machine Learning, will present ArangoML Pipeline, a common Metadata Layer for Machine Learning Platforms.

SQL NYC Meetup

Meetup

“Multi-Model for Machine Learning Metadata”

October 3, 2019    New York, USA

With the rapid and recent rise of data science, the machine learning platforms being built are becoming more complex. You might be aware of the importance of high quality training data for machine learning, but for a production setup the metadata is equally important. We will explore in this presentation how a multi-model approach can help us to manage ML pipelines at scale, in particular machine learning meta data (MLMD) as part of the TensorFlow ecosystem. We will also propose a first draft of an MLMD-compatible universal Metadata API and demo the first implementation of this API using ArangoDB.

Data Council Barcelona

Data Council Barcelona

Jörg Schad “The case for a common Metadata Layer for Machine Learning Platforms”

October 3, 2019   Barcelona, Spain

In this talk, we look at existing implementations, in particular MLMD as part of the TensorFlow ecosystem. Further, we propose a first draft of a (MLMD compatible) universal Metadata API. We demo the first implementation of this API using ArangoDB.

O'Reilly Strata Data Conference

O'reilly Strata Data Conference

Jörg Schad “The case for a common Metadata Layer for Machine Learning Platforms”

September 25, 2019    New York, USA

In this talk, Joerg proposes a first draft of a common Metadata API. One of these challenges is a particular variety of data types arising naturally in this context: There is rather unstructured JSON data, structured data from fixed APIs, but also highly nested and interlinked data, which comes in the form of graphs (vertices and edges).

Webinar

ArangoDB Logo

Jörg Schad “ArangoDB 3.5 Feature Overview”

 

September 12, 2019 - 10am PT/ 1pm ET/ 7pm CEST

The new ArangoDB 3.5 release is here and includes a number of minor and major new features. For example, the ability to perform distributed JOIN operations with SmartJoins, new text search features in ArangoSearch, new consistent backup mechanism, and extended graph database features including k-shortest path queries and the new PRUNE keyword for more efficient queries. Jörg Schad, our Head of Engineering and Machine Learning, will discuss these new features and provide a hands-on demo on how to leverage them for your use case.

Hamburg K8s Meetup

Meetup

Jörg Schad, ArangoDB “Kubernetes + ArangoDB + Kudo = Scalable Graph Processing on Kubernetes”

August 27, 2019    Hamburg, Germany

In this talk Jörg will share:
– the lessons learned while writing the ArangoDB operator
– general best practices around operator Day 2 operations (such as upgrades, configuration changes, etc)
– the various operator SDKs including kubebuilder, Operator SDK, Kudo, and others

Code PaLOUsa 2019

Code Palousa 2019

Matthew Von-Maszewski, “Place your microservices / API within the database server”

August 22, 2019    Louisville, USA

In this talk Matthew will discuss ArangoDB with its open source graph and JSON document database that includes an ability to run your Javascript application and/or service within the database server. This gives your data queries and domain logic native access to in-memory data. The Javascript is the same V8 engine you know from Node.js and the Google Chrome web browser. This session demonstrates actual Javascript code, development steps, and easy deployment.

Webinar

ArangoDB Logo

Chris Woodward, Jan Stuecke “Solving the Polyglot Problem with Native Multi-Model”

August 15, 2019 - 10am PT/ 1pm ET/ 7pm CEST

In this hands-on webinar, Chris & Jan will introduce you to the idea behind the native multi-model database ArangoDB and how you can apply a multi-model to serve a broad range of use cases. In addition, Chris will show live how to perform various queries ranging from simple lookups, over JOINs to complex graph traversals in ArangoDB’s query language AQL and how this works at scale.

FrOSCon 2019

Froscon

Simon Grätzer, “Computer Science behind Geospatial Databases”

August 11, 2019    Sankt Augustin, Germany

In this talk Simon will discuss the foundations of geospatial datastores. The topics are:

  • A short introduction into QuadTrees, Space filling curves and more
  • Introduce Google’s widely used S2 geometry library
  • Comparison between different implementation strategies in NoSQL datastores like MongoDB, RethinkDB and ArangoDB
  • Characteristics of different geo-query types and use-cases, and where typical performance traps are that the average deeveloper / database-user might run into.

Cloud Native Night Munich

Meetup

Jörg Schad, ArangoDB, “The case for a common Metadata Layer for Machine Learning Platforms”

July 9, 2019    Munich, Germany

In this talk, we look at existing implementations, in particular MLMD as part of the TensorFlow ecosystem. Further, propose a first draft of a (MLMD compatible) universal Metadata API. We demo the first implementation of this API using ArangoDB.

Cloud Native & Kubernetes Warsaw Meetup

Meetup

Jörg Schad, ArangoDB, “Building Kubernetes Operators with KUDO – Experiences from Building the ArangoDB Operator”

June 27, 2019    Warsaw, Poland

The best practice for running stateful services–such as ArangoDB–on Kubernetes is using operators which provides automation around deployment, scaling and failure recovery. In this talk, Joerg will share his experience from Building the ArangoDB Operator.

Webinar

ArangoDB Logo

Chris Woodward, Jan Stuecke “How Native Multi-Model Works In ArangoDB”

June 19, 2019 - 10am PT/ 1pm ET/ 7pm CEST

In this webinar, Chris & Jan will walk you through the basic concepts, key features and query options you have within ArangoDB as well as discuss scalability considerations for different data models. Chris is the hands-on guy and will showcase a variety of query options you have with a native multi-model database like ArangoDB, including:

  • Fast, simple lookups
  • Aggregations
  • Join Operations
  • Various Graphs Traversals
  • And a first glimpse about what you can do with SmartGraphs

Beer City Code

BeerCityCode

Matthew Von-Maszewski, “The Computer Science behind a modern distributed data store”

June 1, 2019    Grand Rapids, USA

A modern database is distributed because it needs to scale and/or be resilient. This need brings several nifty computer science topics to the forefront: RAFT, LSM trees, Bloom filters, and Hybrid logical clocks. This session introduces and explains each without complex technical jargon.

Webinar

ArangoDB Logo

Jörg Schad, Gudrun Franzen “Webinar: Graphs of Game of Thrones”

May 29, 2019 - 10am PT/ 1pm ET/ 7pm CEST

In this webinar, we will leverage graph and multi-model representations of seasons one through seven of Game of Thrones to recollect the prior events leading up to the grand finale. Furthermore, we will look at how we can use ArangoDB features such as distributed queries, SatelliteCollections, or SmartGraphs to explore complex information efficiently even at a large scale.

Webinar

ArangoDB Logo

Jan Stuecke; Jaco de Vroed “How PrivacyPerfect built a multi-tenant GDPR SaaS application with ArangoDB”

May 28, 2019 - 10am PT/ 1pm ET/ 7pm CEST

In this webinar, you will hear from ArangoDB Head of Communications Jan Stücke, and Jaco de Vroed, CTO of PrivacyPerfect, about:

  • how ArangoDB supports the necessary requirements for building GDPR-compliant applications
  • an overview of new features in soon-to-be-released ArangoDB 3.5 that simplify GDPR compliance for testing and production environments
  • how PrivacyPerfect built its GDPR compliance application on top of ArangoDB
  • why PrivacyPerfect chose graph vs. relational to model its data, from privacy registers and records, to access control and versioning

KubeCon + CloudNativeCon Europe 2019

KubeCon + CloudNativeCon Europe 2019

Jörg Schad & Vincent Lesierse “A Tale of Two Worlds: Canary-Testing for Both ML Models and Microservices”

May 23, 2019    ArangoDB HQ

In this talk Jörg Schad and Vincent Lesierse are going to show how experiences learned from releasing Microservices on Kubernetes can be applied to the world of ML Models, and where the deployment and lifecycle management of these ML Models differs from Microservices.

Webinar

ArangoDB Logo

Lars Maier, Jörg Schad, “Webinar: Scalable Graph Processing on Kubernetes”

May 2, 2019    ArangoDB HQ

Inn this webinar, Lars and Joerg will discuss how we can use Kubernetes to build an end-to-end recommender system with ArangoDB and Kubernetes and discuss:

  • how a multi-model datamodel can be used to build a recommendation engine
  • how to deploy, scale, and manage ArangoDB on Kubernetes using the new ArangoDB operator
  • An end-to-end demo of a complete recommendation system on Kubernetes

PyData Cambridge

Meetup

Kaveh Vahedipour, “The computer science behind a modern distributed datastore”

May 1, 2019    Hills Road · Cambridge

In his talk Kaveh will touch complex and difficult computer science, but will at the same time make it accessible to and enjoyable by a wide range of developers. The topics he will discuss include:

  • Challenges in developing a distributed, resilient data store
  • Consensus, distributed transactions, distributed query optimization and execution
  • The inner workings of ArangoDB, Cassandra, Cockroach and RethinkDB

HL Saint HighLoad 2019

HLSaintHighLoad

Andrey Abramov, “ArangoDB: Transactional information retrieval”

April 8-9, 2019    Saint Petersburg, Russia

In his talk Andrey will describe the main features of ArangoSearch in ArangoDB. He will share the process of integration of search capabilities into the transaction model of ArangoDB, as well as approach used for integration into the cluster, and integration into ArangoDB Query Language (AQL). He will also describe the differences and features of ArangoSearch and Lucene.

ArangoDB Webinar

ArangoDB Logo

The benefits of a native multi-model database (plus a sneak peek!)

March 28, 2019 Online ArangoDB HQ

We invite you to join Claudius on this webinar, where he will share, the key features and benefits of a native multi-model database, why the ‘native’ in native multi-model is so important and much more

Enterprise Data World Boston

Enterprise Data World

Matthew Von-Maszewski, “Simple Heuristics for Self-Tuning Servers”

March 20, 2019    Boston, USA

In his presentation Matthew will look at 3 heuristics that create self-tuning parameters. The first heuristic is a basic solution, almost too basic. But it sets the stage for two thorough solutions that first employ basic statistics and then advanced math. The goal is not to push these specific heuristics into your code, but to inspire thoughts of how to start eliminating your user visible configuration parameters.

Data Science Meetup

Meetup

Kaveh Vahedipour, “What is consensus and how to achieve it.”

February 21, 2019    Cologne, Germany

No matter how clear and correct a protocol is in definition, its realization on a multi-user, time-sharing operating-system proves exceedingly hard to get right. At ArangoDB, we invested considerable amount of effort in such an implementation. In this talk Kaveh will clarify the notion of consensus from a data-scientific point-of-view and detail its realization in theory and practice.

Top Trends in Modern Data Architecture for 2019

Database trends and applications,Couchbase, Percona, ArangoDB,

ArangoDB, Couchbase and Percona

February 7, 2019    Online DBTA HQ

Join the discussion with our Senior Developer and Architect, Max Neunhöffer and representatives of Percona and Couchbase, talking about the upcoming trends in moder data architecture and their vision for 2019.

Data Day Texas 2019

Data Day Texas 2019

Michael Hackstein, “A Scalable Graph Database Platform with ArangoDB on Kubernetes”

January 26, 2019     Austin, USA

In his talk, Michael will show developers, DevOps, Data Scientists and all interested folk how to deploy & run a distributed graph database with only 7 lines of yaml code on Kubernetes. Furthermore, he will show live on stage how to scale a graph database to billions of nodes & edges while preserving fast query execution.

Gothenburg Tech Radar Meetup

Meetup

Jan Steemann, “An Introduction to Native Multi-Model Databases & ArangoDB”

January 24, 2019     Berlin, Germany

In this session, Jan Steemann, core member of the ArangoDB project, will introduce you to the idea of native multi-model databases and how this approach can provide much more flexibility for developers, software architects & data scientists.

Berlin Kubernetes Meetup

Meetup

Max Neunhöffer, “Developing a DevOps Friendly K8s Integration for ArangoDB”

January 16, 2019     Berlin, Germany

This talk is about an ongoing journey from early yaml files to an advanced integration supporting scaling, upgrading and monitoring in a DevOps friendly way.

ArangoDB Webinar

ArangoDB Logo

Learn all about the upcoming GeoJSON Features in ArangoDB 3.4

December 11, 2018    Online ArangoDB HQ

In this webinar, the creators of the new GeoJSON support in ArangoDB 3.4 will discuss the foundations of geospatial datastores and introduce the widely used S2 geometry library, which is used in the upcoming ArangoDB 3.4.

ArangoDB Webinar

ArangoDB Logo

Learn All About The New Search Engine ArangoSearch in ArangoDB 3.4

December 12, 2018    Online ArangoDB HQ

In this webinar, the creator of ArangoSearch in ArangoDB 3.4 will discuss the foundations of ArangoSearch, it’s view concept and how to retrieve information in AQL (ArangoDB Query Language).

Meetup Berlin

Meetup

Max Neunhöffer, “A Scalable Graph Database Platform with ArangoDB on Kubernetes”

November 21, 2018     Berlin, Germany

Max will show developers, DevOps, Data Scienists and all interested folk how to deploy & run a distributed graph database with only 7 lines of yaml code on Kubernetes. Furthermore, he will show live on stage how to scale a graph database to billions of nodes & edges while preserving fast query execution.

DeveloperWeek Austin

Developer Week 2018

Matthew Von-Maszewski, “Handling Billions Of Edges in a Graph Database”

November 8, 2018    Austin, USA

In his talk Matthew will provide a brief overview about current approaches and their limits towards scalability. Dealing with complex data in a complex system doesn’t make things easier… but more fun finding a solution. Join Matthew on his journey to handle billions of edges in a graph database!

Percona Live Europe

percona live europe frankfurt

Michael Hackstein, “Building a Graphy Time Machine”

November 7, 2018    Frankfurt,Germany

Graph databases allow users to analyze highly interconnected datasets and find patterns within these relationships. Social networks, corporate hierarchies, fraud detection, network analytics, or building whole knowledge graphs are great use cases for graph databases, however these datasets of nodes and connecting edges change over time. Whether you are a developer, architect or data scientist, you might want want to time travel with Michael for analyzing the past or even predict tomorrow.

Austin C++ Meetup

Meetup

Matthew Von-Maszewski, “Simple Heuristics for Self-Tuning Servers”

November 7, 2018    Austin, USA

In his presentation Matthew will talk about 3 heuristics that create self-tuning parameters. The first heuristic is a basic solution, almost too basic. But it sets the stage for two thorough solutions that first employ basic statistics and then advanced math. The goal is not to push these specific heuristics into your code, but to inspire thoughts of how to start eliminating your user visible configuration parameters.

Big Data Week London

Big Data Week 2018

Michael Hackstein, “Handling Billions Of Edges in a Graph Database”

October 5, 2018    London, UK

Join Michael on his journey to handle billions of edges in a graph database.
The complexity and amount of data rise. Modern graph databases are designed to handle the complexity but still not for the amount of data. When hitting a certain size of a graph, many dedicated graph databases reach their limits in vertical or, most common, horizontal scalability. In this talk, I’ll provide a brief overview of current approaches and their limits towards scalability. Dealing with complex data in a complex system doesn’t make things easier… but more fun finding a solution.

Graph Day SF 2018

Graph Day SF

Max Neunhöffer,”Building a Graphy Time Machine”

September 15, 2018    San Francisco,USA

Whether you are a developer, architect or data scientist, you may want to time travel with Max for analyzing the past or even predict tomorrow. In his talk, Max will discuss how graph databases allow users to analyze highly interconnected datasets and find patterns within these relationships.

ArangoDB Online Meetup

Meetup

Kaveh Vahedipour,”ArangoDB Cluster Administration: Part III”

September 12, 2018    Cologne, Germany

In this 3rd part, we will dive into framework orchestration and enterprise features of ArangoDB clusters. We will deploy local and cloud clusters using the Kubernetes operator kube-arangodb. We will also go through the basic setup of a data center to datacenter replication of an ArangoDB cluster.

FrOSCon

Froscon

Ewout Prangsma, “Developing a devops friendly Kubernetes integration for ArangoDB”

August 25-26, 2018    Bonn, Germany

In his talk Ewout is going to cover an ongoing journey from early yaml files to an advanced integration supporting scaling, upgrading, federation and monitoring in a devops friendly way.
The journey will take us from tiny cloud environments to bespoke hardware, touching subjects such as persistency performance, session stickyness, access control and federation.

FrOSCon

Froscon

Kaveh Vahedipour, “The Computer Science behind a modern distributed data store”

August 25-26, 2018    Bonn, Germany

Kaveh will talk about complex and difficult computer science, but will at the same time be accessible to and enjoyable by a wide range of developers. The audience will be introduced to some of the needed ingredients, address the difficulties of their interplay and show four modern approaches of distributed open-source data stores.

OSDC Berlin 2018

OSDC

Max Neunhöffer, “The Computer Science behind a modern distributed data store”

June 12-13, 2018    Berlin, Germany

OSDC is an international conference that is especially adapted to experienced administrators and architects. Get in touch with international OS-experts. Benefit from their comprehensive experience, learn about the current developments and gain the latest know-how for your daily practice.

Big Data Spain

Meetup

Jan Steemann, “Running complex data queries in a distributed system”

June 5, 2018    Madrid, Spain

In this meetup, Jan will discuss the challenges of running complex data queries in a distributed system and the available solutions that some open source distributed databases have picked to solve them.

ArangoDB Online Meetup

Meetup

Kaveh Vahedipour, “Fundamentals and Best Practices of ArangoDB Cluster Administration: Part II”

May 29, 2018    Cologne, Germany

In this second part of the cluster administration course you will get a more indepth knowledge in aspects concerning authentication, infrastructure deployment (Kubernetes, DC/OS), troubleshooting and data loss, backup and restore, resharding of collections and lastly an introduction into enterprise features.

J on the Beach

JOTB 2018

Ewout Prangsma, “Implementing data center to data center replication for a distributed database”

May 23-25, 2018    Málaga, Spain

JOTB is an international meeting point for developers and devOps around Big Data technologies. A fun conference to learn and share the latest experiences related to topics like distributed systems, IoT projects, Big Data Architectures and, the most important part, it’s On The Beach!

Chicago JavaScript Meetup Group

Meetup

Matthew Von-Maszewski, “The Computer Science Behind a Modern Distributed Data Store “

May 22, 2018    Chicago, United States

Join Matthew as he will discuss complex and difficult computer science, but will at the same time be accessible and enjoyable by a wide range of developers.

Cologne AWS User Group

Meetup

Max Neunhöffer, “Developing a devops friendly Kubernetes integration for ArangoDB”

May 17, 2018    Cologne, Germany

Join Max as he talks about an ongoing journey from early yaml files to an advanced integration supporting scaling, upgrading and monitoring in a devops friendly way. The journey will take us from tiny cloud environments to bespoke hardware, touching subjects such as persistency performance, session stickyness, access control and federation.

Big Data and Machine Learning - London

Meetup

Kaveh Vahedipour, “Effectively Scaling with Machine Learning”

May 15, 2018    London, UK

Kaveh Vahedipour will be talking about having a RAFT based application store on ArangoDB’s agency. Join Kaveh as he demonstrates the significant added value that can be derived from immersing an application framework into the consensus realm.

ArangoDB Cologne Meetup

Meetup

Guacamole Fiesta, “What do avocados and databases have in common?”

May 15, 2018    Cologne, Germany

Join us for our very first ArangoDB Cologne meetup!
First our CTO, Frank Celler, will do a quick overview of the latest feature developments and what is coming with ArangoDB 3.4. Then, Michael Hackstein will talk about multi-model database movement, diving deeper into main advantages and technological benefits. Finally, we touch the Foxx Microservice framework which allows to easily extend ArangoDB and include it in your microservices landscape.

Devoxx UK 2018

Devoxx

Max Neunhöffer, “The Computer Science behind a modern distributed data store”

May 9-11, 2018    London, UK

The Devoxx family welcomes annually 12.000+ developers spread across Belgium, France, Poland, UK, Morocco and the USA. Join Max in London and learn about computer science.

Big Data Operations On Performance (BDOOP)

Meetup

Jan Steemann, “Running complex data queries in a distributed system”

April 26, 2018    Barcelona, Spain

Jan will discuss the challenges of running complex data queries in a distributed system and the available solutions that some open source distributed databases have picked to solve them.

NoSQL User group Cologne

Meetup

Max Neunhöffer, “Developing a devops friendly Kubernetes integration for ArangoDB”

April 12, 2018    Cologne, Germany

Join Max as he talks about an ongoing journey from early yaml files to an advanced integration supporting scaling, upgrading and monitoring in a devops friendly way. The journey will take us from tiny cloud environments to bespoke hardware, touching subjects such as persistency performance, session stickyness, access control and federation.

ArangoDB Online Meetup

Meetup

Kaveh Vahedipour, “Fundamentals and Best Practices of ArangoDB Cluster Administration”

April 10, 2018    Online ArangoDB

In this online talk, Kaveh will discuss the inner workings and mechanisms involved in clustering of ArangoDB databases. And go through basic administrative tasks like startup, orderly shutdown, rolling upgrading, creation and dropping of cluster database entities, authentication, SSL transport, live scaling of the cluster, and basic troubleshooting.

C++ User Group Köln

Meetup

Kaveh Vahedipour, “Consensus Algorithmen – Von PAXOS zu RAFT”

March 20, 2018    Cologne, Germany

Kaveh Vahedipour will be talking about having a RAFT based application store on ArangoDB’s agency. Join Kaveh as he demonstrates the significant added value that can be derived from immersing an application framework into the consensus realm.

DevOps Düsseldorf

Meetup

Max Neunhöffer, “Fishing Graphs in a Hadoop Data Lake”

February 21, 2018    Düsseldorf, Germany

Hadoop clusters can store nearly everything in a cheap and blazingly fast way to your data lake. Answering questions and gaining insights out of this ever growing stream becomes the decisive part for many businesses. Join Max Neunhöffer in this meetup to learn more about Hadoop.

Ottawa Graph

Meetup

Matthew Von-Maszewski, “Handling Billions of Edges in a Graph Database”

February 20, 2018    Ottawa, ON

Matthew Von-Maszewski will be talking about scaling a distributed graph database and will provide a brief overview about current approaches and their limits towards scalability.

Chicago C/C++ Users Group

Meetup

Daniel H. Larkin-York, “The Computer Science behind a modern distributed data store”

February 20, 2018    Chicago, IL

In this talk Dan Larkin-York will introduce the audience to some of the challenges, address the difficulties of their interplay, and cover key approaches taken by some of the industry’s leaders (ArangoDB, Cassandra, CockroachDB, MarkLogic, and more).

Open Source Chicago

Meetup

Daniel H. Larkin-York, “Presentation: Computer Science Behind a Modern, Distributed Database”

February 17, 2018    Chicago, IL

Dan Larkin-York will give a presentation on distributed databases and a few current approaches to the challenges they present.

FOSDEM

Fosdem 2018

Michael Hackstein, “Handling Billions Of Edges in a Graph Database”

February 3, 2018    Bruxelles, Belgium

In this talk Michael will address the glitches and most important the solutions on the journey to a scalable and distributed graph database.

FOSDEM

Fosdem 2018

Michael Hackstein, “The Computer Science behind a modern distributed data store”

February 3, 2018    Bruxelles, Belgium

This talk will touch complex and difficult computer science, but will at the same time be accessible to and enjoyable by a wide range of developers.

Data Day Texas

dataday texas

Claudius Weinberger, “Fishing Graphs in a Hadoop Data Lake“

January 27, 2018    Austin, Texas

Data Day is one of the first NoSQL / Big Data conferences, Data Day Texas each year highlights the latest tools, techniques, and projects in the data space, bringing speakers and attendees from around the world to enjoy the hospitality that is uniquely Austin. Since its inception, Data Day Texas has continually been the largest independent data-centric event held within 1000 miles of Texas.

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