What can you get for free in Berlin, that you would have to get out of your way to get in, say, London or Madrid?
A few things, including the most up to date and comprehensive research on graph databases, plus the local heroes of this scene.
2 talks on graph databases that will help answer questions and get hands-on experience no matter at which point in your graph DB journey you may be, and get freebies.
6:00 - 6:20 Doors open, meet and greet
6:20 - 7:00 The year of the graph: evaluating graph databases, by George Anadiotis
7:00 - 7:45 A Scalable Graph Database Platform with ArangoDB on Kubernetes, by Max Neunhöffer
7:45 - 8:00 Networking
Talk 1: The year of the graph: evaluating graph databases
What is a graph database? Do you really need one, and if yes, how do you choose?
Graph databases are the fastest growing category. If you want to find out what the hype is all about, you are at the right place.
Graph databases have been around for more than 15 years, but it was AWS and Microsoft getting in the domain that attracted widespread interest. If they are into this, there must be a reason.
Everyone wants to know more, few can really keep up and provide answers. And as this hitherto niche domain is in the mainstream now, the dynamics are changing dramatically. Besides new entries, existing players keep evolving. I’ve done the hard work, so you don’t have to.
In this presentation i will share some of the points included in the Year of the Graph report: http://yearofthegraph.xyz
I’ve been working with graph databases since 2005, when i implemented my first graph database prototype. This includes award-winning R&D, startups, enterprise deployments, and consulting the (then) top Graph Database vendor on distributed queries in 2008.
I’ve been active as an analyst, consultant and entrepreneur since 2012. Some highlights –defining and analyzing Agile Business Intelligence long before the Gartners of the world, and working with the likes of Hortonworks, SAP, and more.
Talk 2: A Scalable Graph Database Platform with ArangoDB on Kubernetes
Many applications today rely on highly connected data consisting of edges & vertices. Context and semantics become more and more important for fraud detection, recommendation systems, identity & access management or neural networks in artificial intelligence.
Graph datasets can quickly outgrow the capabilities of a single machine. Ideally, we would like to move to a cluster of small, cheap machines. But how to overcome the network hop problem when data queried resides on different machines?
Kubernetes has become the leading orchestration system to run containers in the cloud. In the past, running stateful applications was considered “difficult”. Recent developments in Kubernetes like Persistent Volume Claims, Custom Resource Definitions and Service Operators enabled the creation of advanced solutions to stateful services.
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.
ArangoDB is a distributed native multi-model database. It supports JSON documents, graphs and key/value pairs, uniting three data models a single database core, query language and execution engine. All data models can be combined in a single query, giving unprecedented flexibility in data modeling, application design and development.
Max Neunhöffer is a mathematician turned database developer, having worked for 16 years on new computer algebra algorithms. He shifted his focus to NoSQL databases, and now works on ArangoDB as a developer and architect.