Neo4j Budapest - June Conference

This is a past event

102 people went

HubHub Király utca 26

Király u. 26 · Budapest

How to find us

Go on the first floor, walk until the end of the corridor - we're here!

Location image of event venue

Details

Come learn about graph databases & network science!

This time, we will have 3 tech talks, each about 20 minutes long.

We also got your back with soft drinks, pizzas, and some healthier choices! :)

Scroll down for the full program and talks details! Be there at 6:30 pm for the first talk!

If you finish work earlier, you can come from 6pm onwards for a chat and a snack.

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😎THE TALKS:
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🗣 BENCE VASS

☛ Bence will relate a practical experience he's had at a big company, where Neo4j came in really handy to model a multi-domain data space.

He will demonstrate how to do the same on a simple use-case, and provide the tools so we can do it too.

🔗 LinkedIn: www.bit.ly/3188JoA
🔗 www.github.com/007vasy

🗣 GABOR SZARNYAS (Research assistant @ MTA-BME)

☛ Graph queries are significantly more difficult than their relational counterparts. But what exactly makes them challenging to compute?

This talks summarises the key aspects of graph processing and presents cases where there is a need for a specialised graph engine.

🔗 www.linkedin.com/in/szarnyasg/
🔗 https://inf.mit.bme.hu/en/members/szarnyasg

🗣 ANDRAS NEMETH (CTO @ Lynx Analytics)

☛ Imagine you have a graph at hand: you know the age of some customers, and want to predict the age of the rest of them.

Andras will demonstrate how to proceed in a telco business using LynxKite, Lynx Analytics' distributed graph analysis tool.

🔗 LinkedIn: www.bit.ly/2wNjM8Z
🔗 www.lynxanalytics.com

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⏰ SCHEDULE:
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6:00 pm - The space is open - if you finished work early, do come by for a chat and a snack!

6:30 pm - Couple announcements from organisers

6:35 pm - First talk

7:00 pm - Second talk

7:30 pm - Third talk

8:00 pm - Food and networking 🎉

9:00 pm - HubHub closes, but we're moving to a nearby bar

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⚡WANT TO GET THE STAGE?
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If you'd like to give a talk about Graph Databases, Neo4j and/or Network Science in general - don't be shy and reach out at: [masked]